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Program Overview

The KL2 program is a career development program for early-career investigators sponsored by the National Center for Advancing Translational Sciences (NCATS), a center of the National Institutes of Health (NIH).

The major components of the ITHS KL2 program are:

Funding

The KL2 program provides a minimum of 75% of a KL2 Scholar’s salary (up to $85,000 per year) for up to three years. In return, at least 75% of a KL2 Scholar’s full-time professional effort must be devoted to pursuing their KL2 research project, including the programmatic elements of the KL2 Program. Each KL2 Scholar’s home department, school, or institution will be required to provide institutional support for any KL2 Scholar whose salary support for their committed ITHS KL2 effort exceeds $85,000.

In addition to salary support, KL2 Scholars will receive research funds of up to $25,000/year based on an annual budget review and approval. KL2 Scholars will also receive up to $2,500//year to devote to travel to professional meetings and conferences.

Please note:

Eligibility

The KL2 program is open to investigators at the postdoctoral  or early career faculty level who plan to conduct, or are conducting, translational research. If you are at the postdoctoral level and do not currently have a faculty appointment, your department support letter will need to indicate that upon acceptance you will have a faculty appointment.

Eligibility Update July 2024: Due to a change in NIH requirements beyond ITHS control, KL2 applications will only be accepted for individuals with an appointment (or expectation of appointment) at one of ITHS partner institutions: University of Washington, Fred Hutchinson Cancer Center, or Seattle Children’s Research Institute.

Faculty at non-partner WWAMI institutions: The KL2 Monthly Seminars & Mentorship will be accessible to our WWAMI scientific community through the KL2 Seminar Fellows Program (additional information and dedicated webpage coming soon). Additionally, ITHS can offer support for development and review of career development award proposals to WWAMI early-stage faculty. The level of support provided will be determined by ITHS capacity, applicant needs, and alignment to ITHS mission and priorities. Please reach out to ithsedu@uw.edu for more information.

Eligibility Requirements

Additional Information

An ITHS membership is required to apply. To become a member, please complete the ITHS Membership Form.

How to Apply

The KL2 Program application consists of standard demographic information, a biosketch from the NIH template, and a detailed and thorough description of your proposed project. In addition, you will need three letters of recommendation.

Key Dates

All materials, including the Letters of Recommendation, must be received by 11:59 p.m. on October 7, 2024.

Step 1. Obtain Letters of Recommendation

Step 2. Complete the following items prior to accessing the online application

Applicants will submit under one of the following three tracks of translational science that most accurately describes their proposed project.

Choose the translational science track in which your proposed project fits best (those unsure of which phase their research falls under should email Christy McKinney, KL2 Program Director, for guidance).

• 4) NIH Biosketch

Step 3. Complete the online application form

FAQs

Atul Butte, MD, PhD
Priscilla Chan and Mark Zuckerberg Distinguished Professor of Pediatrics, Bioengineering and Therapeutic Sciences, and Epidemiology and Biostatistics at UCSF
Director, Bakar Computational Health Sciences Institute, UCSF
Chief Data Scientist, University of California Health System (UC Health)

Atul Butte, MD, PhD, is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute (bchsi.ucsf.edu) at the University of California, San Francisco (UCSF). Dr. Butte is also the Chief Data Scientist for the entire University of California Health System, the tenth largest by revenue in the United States, with 20 health professional schools, 6 medical schools, 6 academic health centers, 10 hospitals, and over 1000 care delivery sites.

Dr. Butte has been continually funded by NIH for 20 years, is an inventor on 24 patents, and has authored nearly 300 publications, with research repeatedly featured in the New York Times, Wall Street Journal, and Wired Magazine. Dr. Butte was elected into the National Academy of Medicine in 2015, and in 2013, he was recognized by the Obama Administration as a White House Champion of Change in Open Science for promoting science through publicly available data. Dr. Butte is also a co-founder of three investor-backed data-driven companies: Personalis (IPO, 2019), providing medical genome sequencing services, Carmenta (acquired by Progenity, 2015), discovering diagnostics for pregnancy complications, and NuMedii, finding new uses for drugs through open molecular data. Dr. Butte trained in Computer Science at Brown University, worked as a software engineer at Apple and Microsoft, received his MD at Brown University, trained in Pediatrics and Pediatric Endocrinology at Children’s Hospital Boston, then received his PhD from Harvard Medical School and MIT.

Tim Althoff, PhD
Assistant Professor, Paul G. Allen School of Computer Science and Engineering, University of Washington

Oliver J. Bear Don’t Walk IV
Postdoctoral Scholar, Biomedical Informatics and Medical Education, University of Washington

Oliver J. Bear Don’t Walk IV is a citizen of the Apsáalooke Nation in present day Montana and is a Postdoctoral Scholar and AIM-AHEAD Research Fellow at the University of Washington in Biomedical Informatics and Medical Education. They completed their PhD in biomedical informatics at Columbia University and received their bachelors in Math and Computational Science from Stanford University. Oliver’s research is at the intersection of clinical natural language processing (NLP), fairness, and ethics with an emphasis on engaging Indigenous communities to improve health in Indian Country. His thesis focused on the technical and ethical aspects of extracting race and ethnicity from clinical notes and identifying biased associations in NLP models trained to extract this information. Oliver is thankful for the community support which has brought him this far, and as such, Oliver pays it forward through teaching and mentorship positions such as serving as an organizer and faculty for IndigiData and a co-chair for the American Medical Informatics Association’s Diversity, Equity, and Inclusion Committee.

Sarah Biber, PhD
Program Director, National Alzheimer’s Coordinating Center

Dr. Sarah Biber is the Program Director for the National Alzheimer’s Research Center (NACC), based at the University of Washington, where she collaborates closely with NACC’s PI and Director, Dr. Walter Kukull, to set the strategic and scientific direction for the center and to oversee the delivery of NACC’s overall scope of work. She also represents NACC with national partners, leads overall operations, and oversees NACC’s tech, research, communications, administrative, and grants and finance teams.

She is trained as a PhD scientist in molecular and cellular biology and has extensive experience leading operations for complex centers and programs focused on advancing research and innovation. Prior to joining NACC in November 2021, she led the Surgical Innovation Program at Oregon Health and Science University (OHSU) where she shaped and significantly expanded the department of surgery’s innovation and entrepreneurship capacity and footprint, including through launching and running the Donald D. Trunkey Center for Civilian and Combat Casualty Care. During this time, she served as a co-investigator on studies that examined the impact of digital health technologies (augmented reality and digital therapeutics) on surgical care and patient experience, and on a grant to develop a novel tele-critical care platform to help address the COVID-19 pandemic. She also contributed to the development of several surgical innovations at OHSU, most notable as a co-inventor of SureFlo, a novel connected wearable blood flow monitoring system.

While at OHSU, she also founded and led the OHSU Invent-a-thon, a novel global virtual extended healthcare hackathon platform that brought together more than 800 innovators across disciplines and 60 academic and industry partners to launch 49 new digital health and medtech solutions to pressing healthcare challenges.

She previously served as the Assistant Director for NIH’s National Center for Data to Health (CD2H), where she was focused on launching the center and leading operations to advance informatics innovation, data sharing, software development, and collaboration across the 50+ Clinical Translational Science Awards Program Centers. Prior to her time at the CD2H, she was Entrepreneurial Program Director at the Oregon Bioscience Incubator where she helped grow the incubator three-fold and spearheaded statewide programs and partnerships to support entrepreneurs and startups. During this period she also served as chair of the Startup Resource Workgroup for the Portland Innovation Quadrant and co-founded Accelerate Biotech and Digital Health PDX.

Beth Britt, PhD
Director of Data & Analytics, UW Medicine

Dr. Britt is the Director of Analytics for UW Medicine, reporting to both School of Medicine BIME Department and UW Medicine IT Services. The Analytics group at UW Medicine is comprised of approximately 50 architects, analysts, developers and administrators managing a set of business intelligence solutions and warehouses. Since joining UW Medicine in May of 2015, Dr. Britt has led efforts to create a predictive analytics function and governance model for the implementation of real-time clinical predictive models. She has also led efforts to develop a new analytics data platform, implement an enterprise-wide data governance model, create analytics intake and prioritization processes, deploy a new data access policy and trainings, prototype new self-service technologies, begin data management work and support Epic business intelligence and cognitive computing implementations.

Dr. Britt holds a PhD in Machine Learning from Washington State University, a Certificate in Data Science from UW, a Lean Six Sigma Green Belt and is a Certified Data Management Professional (CDMP). She has served on Advisory Councils at UW, Microsoft, published in various journals/books and spoken at a variety of conferences and seminars, including recently at Epic UGM.

Trevor Cohen, PhD
Professor of Biomedical Informatics and Medical Education; Adjunct Professor of Psychiatry and Behavioral Sciences, University of Washington

Bas de Veer, MS
Assistant Director, UW Medicine Research IT

Anind K. Dey, PhD
Professor and Dean, Information School, University of Washington

Nic Dobbins
Principal Solutions Architect, UW Medicine Research IT

Nic Dobbins is the Principal Solutions Architect at UW Medicine Research IT and a PhD Candidate in Biomedical Informatics at the University of Washington. Nic is the creator and lead developer of Leaf, a data-model agnostic cohort discovery tool used at UW and universities around the world. Nic’s research interests are at the intersection of natural language processing (NLP), machine learning, question-answering, dynamic query generation, and cohort discovery. Nic is currently working on a new tool, Leaf-AI, which uses natural language criteria to find patients in structured clinical databases.

James Fogarty
Professor, Paul G. Allen School of Computer Science and Engineering, University of Washington

James Fogarty is a Professor of Computer Science & Engineering at the University of Washington and also directs the UW’s cross-campus DUB initiative for HCI and Design. His overall research is motivated by challenges at the intersection of technology and design, where he develops new tools for using data to empower individuals in important domains like health. Recent and ongoing relevant research includes: (1) characterizing burdens and barriers created by current self-tracking technologies, (2) supporting end-to-end processes for collecting and analyzing self-tracking data toward personal data-driven knowledge and decisions, (3) supporting individuals as they collaborate with peers, family, and health providers around self-tracking data, and (4) supporting the design of effective and inclusive health self-tracking applications. His research has examined these technology design challenges in settings that include cancer and depression, food, irritable bowel syndrome, liver disease, migraine, physical activity, and sleep.

Jerry Jarvik
Professor, Radiology and Neurological Surgery; Adjunct Professor, Health Services, Pharmacy and Orthopedics & Sports Medicine, University of Washington; Director, UW CLEAR Center for Musculoskeletal Disorders

Dr. Jarvik attended the University of California, San Diego for both undergraduate education and medical school. He then did his residency in Diagnostic Radiology and fellowship in Neuroradiology at the Hospital of the University of Pennsylvania. He obtained his Masters in Public Health (MPH) from the University of Washington in Health Services while a Robert Wood Johnson (RWJ) Clinical Scholar. He is also a former GE-AUR Radiology Research Academic Fellowship (GERRAF) recipient, a career development award for radiologists.

Currently, Dr. Jarvik is Professor with Tenure of Radiology and Neurological Surgery (joint) at the University of Washington. He is adjunct Professor of Health Systems and Population Health, Pharmacy, and Orthopaedics and Sports Medicine. Dr. Jarvik is the PI/Director of the NIH/NIAMS-funded UW Clinical Learning Evidence And Research (CLEAR) Center for Musculoskeletal Disorders, Co-Director of the Comparative Effectiveness, Cost and Outcomes Research Center (CECORC) and Co-Director of the Health Services Research Section for the Department of Radiology. Dr. Jarvik is an internationally recognized expert in the evaluation of diagnostic and therapeutic spine interventions as well as in the field of health services and comparative effectiveness research as it relates to radiology.

Diane Korngiebel
AI Principles Ethicist and ELSI Scholar, Responsible Innovation, Google

Nathan Kutz, PhD
Professor of Applied Mathematics and Electrical and Computer Engineering; Director, AI Institute in Dynamic Systems, University of Washington

Daniel McDuff, PhD
Staff Research Scientist, Consumer Health Research Team, Google; Affiliate Professor, University of Washington

Daniel McDuff is a Staff Research Scientist at Google and Affiliate Professor at the University of Washington. Daniel completed his PhD at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. Previously, Daniel worked at the UK MoD, was Director of Research at MIT Media Lab spin-out Affectiva. His work has received nominations and awards from Popular Science magazine, South-by-South-West, The Webby Awards, ESOMAR and the Center for Integrated Medicine and Innovative Technology (CIMIT).

His projects have been reported in many publications including The Times, the New York Times, The Wall Street Journal, BBC News, New Scientist, Scientific American and Forbes magazine. Daniel was named a 2015 WIRED Innovation Fellow, an ACM Future of Computing Academy member. Daniel has published over 150 peer-reviewed papers on machine learning (NeurIPS, ICLR, ICCV, ECCV, ACM TOG), biomedical engineering (TBME, EMBC) and human-computer interaction (CHI, CSCW, IUI). Daniel is also co-founder of RAIL, a collaboration that creates AI licenses for the responsible use of AI (https://www.licenses.ai/blog) that are now being used by many publicly available AI models (e.g., stablediffusion).

Shannon McWeeney, PhD
Chief Data Officer, Professor and Vice Chair, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University

Sean Mooney, PhD
Professor,  Biomedical Informatics and Medical Education, University of Washington; Chief Research Information Officer, UW Medicine; Interim Director, UW Institute for Medical Data Science; Director of Biomedical Informatics, Institute of Translational Health Science; Associate Director, National Alzheimer’s Coordinating Center (NACC)

Eric Neil
Chief Information Officer (CIO), UW Medicine IT Services

Eric was named the interim CIO in January 2020 and later named the permanent CIO in October 2021.  He leads the UW Medicine IT Services department and provides technology leadership for patient care, medical education, and research across the UW Medicine health system.

Prior to the CIO position, Eric served UW Medicine as a trusted consultant in a number of interim leadership roles including Chief Administrative Officer, Program Director, and Revenue Cycle Director.  He led several key UW Medicine initiatives including the implementations of an enterprise electronic health record, enterprise billing system, and integration of IT teams.

Before joining UW Medicine, Eric spent 25 years as a Principal Consultant at LaPlant Consulting Group, a healthcare revenue cycle and technology consulting firm based in Seattle.  He served hospitals and academic health system clients with interim technology and revenue cycle leadership and numerous successful consulting engagements.

Previous to his consulting work, Eric also served in leadership roles at Virginia Mason Medical Center and Lincare Holdings.

Eric earned his BA in Health Services Administration from Eastern Washington University.

Shwetak Patel, PhD
Washington Research Foundation Endowed Professor, Paul G. Allen School of Computer Science & Engineering

Shwetak is currently the Washington Research Foundation Entrepreneurship Endowed Professor in the Paul G. Allen School of Computer Science & Engineering and the Department of Electrical & Computer Engineering at the University of Washington, where he directs the Ubicomp Lab. Concurrently, he also leads Health Technologies at Google and is a Distinguished Scientist. His research is in the areas of Human-Computer Interaction, Ubiquitous Computing, and Sensor-Enabled Embedded Systems, with a particular emphasis on the application of computing to health, sustainability, and interaction.

Shwetak received his PhD in Computer Science from Georgia Tech in 2008. He is a recipient of a MacArthur Fellowship, Sloan Fellowship, Microsoft Research Faculty Fellowship, MIT TR-35 Award, World Economic Forum Young Global Scientist Award, NSF Career Award, Presidential PECASE award, and the ACM Prize in Computing. He is also an ACM Fellow. Shwetak is a co-founder of a home energy monitoring company called Zensi (acquired by Belkin in 2010), a low-power home wireless sensing company called SNUPI Technologies (acquired by Sears in 2015), and a mobile health company called Senosis Health (acquired by Google in 2017).

Shirley Ren, PhD
Applied Research Manager, Health AI Team, Apple

Shirley graduated from UW in 2015 with a PhD in Statistics. She joined Apple Health AI team in 2019 leading a team of applied research scientists working on health projects.

Mark Richards, PhD
Provost and Executive Vice President for Academic Affairs, University of Washington

Mark Richards joined the University of Washington as provost and executive vice president for academic affairs in 2018. A geophysicist, Dr. Richards also holds a faculty appointment in the College of the Environment’s Department of Earth and Space Sciences.

Dr. Richards came to the UW from the University of California, Berkeley, where he was professor of Earth and Planetary Science. While at Berkeley, he served as dean of mathematical and physical sciences, and simultaneously as executive dean of the College of Letters and Science. For his work on racial, ethnic, and gender diversity in the STEM fields, Dr. Richards received Berkeley’s two highest awards for promoting equity and inclusion.

As the UW’s chief academic and budget officer, Dr. Richards is focusing his leadership on core areas to advance the University’s academic mission. These areas include linking capital investments to academic priorities; replacing the UW’s financial infrastructure; improving mental health services for students; and increasing fellowship support for Ph.D. students.

Dr. Richards’ research centers on dynamic processes in the interior of the Earth and the terrestrial planets, and how these processes affect geological phenomena such as plate tectonics and volcanic eruptions.

He earned his bachelor’s degree in engineering from the University of Texas at Austin, and his master’s and Ph.D. in geophysics from the California Institute of Technology.

Lynn M. Rose, PhD
Affiliate Associate Professor, School of Pharmacy, University of Washington and Drug and Device Advisory Committee Director, Institute of Translational Health Sciences

Dushyant Sahani, MD
Professor and Chair, Department of Radiology, University of Washington

Scott Saponas
Senior Director, Microsoft Research, Biomedical Computing

Ali Shojaie, PhD
Professor and Associate Chair, Department of Biostatistics, School of Public Health, University of Washington

Ali Shojaie is Professor and Associate Chair of Biostatistics, Adjunct Professor of Statistics and founding director of the Summer Institute for Statistics in Big Data (SISBID) at the University of Washington. Originally trained in Industrial and Systems Engineering, he obtained his PhD in Statistics from the University of Michigan, while completing Masters degrees in Applied Mathematics and Human Genetics. Dr. Shojaie’s research lies in the intersection of statistical machine learning, statistical network analysis and applications in biology and social sciences. His research has been recognized by multiple best paper awards. He is a recipient of the 2022 Leo Breiman Award from the ASA Section on Statistical Learning and Data Science and elected a Fellow of the American Statistical Association (ASA).

Shawn Sullivan
Cofounder & Chief Technology Officer, Phase Genomics

Mr. Sullivan has served as the CTO of Phase Genomics since its founding in 2015. He heads all software engineering, data science, machine learning, computational biology, and bioinformatics efforts at Phase Genomics. In this capacity, he has led the invention, development, and deployment of multiple technologies, including deep-learning–based models for understanding and diagnosing cancer, machine learning models for assessing antibiotic resistance in microbial communities, predictive models for identifying host relationships for plasmids and phages, and new computational tools for the analysis of chromatin structure, genome assembly, and metagenomics. He received his B.S. in Computer Science & Engineering from MIT, and is a software industry veteran with 8 years of experience designing large-scale data processing and analysis systems as well as leading software development teams at Microsoft.

Peter Tarczy-Hornoch, MD
Chief Data Officer, UW Medicine; Professor and Chair, Department of Biomedical Informatics and Medical Education; Professor, Department of Pediatrics, Division of Neonatology; Adjunct Professor, Department of Computer Science and Engineering, University of Washington

Peter Tarczy-Hornoch has over 40 years of experience in computer science, over 35 years in biomedical informatics and 20 years in clinical medicine (pediatrics and neonatology). He has been at the University of Washington for 30 years, serving as Head of the Division of Biomedical and Health Informatics since 2001 and serving as Chair of the Department of Biomedical Informatics and Medical Education since 2011. He has played a leadership role in the creation and evolution of the BIME educational programs (undergraduate (joint with iSchool), MS/PhD, postdoctoral, applied clinical informatics MS (CIPCT) joint with Nursing, Clinical Informatics Fellowship joint with Family Medicine). He has led a number of key initiatives in informatics practice (praxis) including the areas of telemedicine, digital library, electronic medical records, data warehousing (including seminal work on 1st, 2nd and 3rd generation UW Medicine Enterprise Data Warehouses), analytics, clinical research informatics).

His unifying theme of research over the last two decades has been data integration of electronic biomedical data (clinical, genomic and other including data) both for a) knowledge discovery and b) in order to integrate this knowledge with clinical data at the point of care for decision support. His current research focuses on a) secondary use of electronic medical record (EMR) for translational research including outcomes research, learning healthcare systems, based on complex phenotypic eligibility criteria, b) the use of EMR systems for cross institutional comparative effectiveness research, and c) integration of genomic data into the EMR for clinical decision support in the context of translational bioinformatics

Michael Willingham
Director of Regulatory Affairs, Google Health

Michael Willingham is the Director of Regulatory Affairs at Google Health and is involved in using artificial intelligence and machine learning to assist in diagnosing cancer, predicting patient outcomes, preventing blindness, and much more. He is a 20+ year senior executive with 30+ years of experience in the healthcare technology industry, with roles in Regulatory Affairs, Quality Assurance, Information Security, Research, Product Development, Human Resources, and International Business.

Mike brings specific experience in healthcare IT, medical device design and manufacturing, embedded and stand-alone software, management system certifications, total quality management, and worldwide regulatory affairs.

Companies and positions:

• Google (2020 -date) – Director, Regulatory Affairs for Google Health
• 98point6 (2016-2020) – VP, Quality, Regulatory and Security
• Caradigm (2012-2016) – VP, Quality, Regulatory and Security
• Philips Healthcare (2006-2012) – Sr. Director, Quality & Regulatory
• Physio-Control (1984-2006) – VP, Quality & Regulatory and VP, Int’l Business

Meliha Yetisgen, PhD
Professor, Biomedical Informatics and Medical Education: Adjunct Professor, Department of Linguistics, University of Washington

Meliha Yetisgen is a Professor in the Department of Biomedical Informatics and Medical Education and Adjunct Professor in the Department of Linguistics at the University of Washington. Before joining University of Washington, she worked in industry as a researcher. Her research is on natural language processing (NLP) and its application to clinical domain to enable meaningful secondary use applications. She focuses on defining complex NLP questions on different sources of clinical narratives and developing state-of-the-art text processing approaches to solve them. She uses those NLP solutions to enable clinical secondary use applications that have direct impact on improving quality of patient care and advancing clinical research. Dr. Yetisgen received her BS degree on Computer Engineering from Bilkent University (Ankara, Turkey) and MS degree on Computer Engineering from Middle East Technical University (Ankara, Turkey). She received her PhD from University of Washington.

Bonnie Ramsey Northwest Participant and Clinical Interactions Network Lectureship Keynote Speaker:
Abigail Echo-Hawk, MA (Pawnee)

Executive Vice President, Seattle Indian Health Board
Director, Urban Indian Health Institute

Panelists

Denise Dillard, PhD, MS (Inupiaq Eskimo)
Co-Director, IREACH; Professor, Elson S. Floyd College of Medicine, Washington State University

Vernon Grant, PhD (Amp Ska Pi Pikuni)
Assistant Research Professor, Center for American Indian and Rural Health Equity, Montana State University

Alma Knows His Gun McCormick (Apsáalooke)
Executive Director, Messengers for Health, Billings, Montana

Amal Saleh
Program Manager, Research Integration Hub, Seattle Children’s Research Institute

Speakers and Moderators

John K. Amory, MD, MPH, MSc
Associate Dean of Translational Sciences, University of Washington School of Medicine; Principal Investigator, Institute of Translational Health Sciences

Laura Baker, MS, RN, NE-BC
Senior Director, Clinical Research Integration, Seattle Children’s Research Institute

Dani Blackburn, MSBA, CCLS
Data Analyst, Biostatistics, Epidemiology and Analytics in Research (BEAR), Seattle Children’s Research Institute

Robert H. Coker, PhD, FACSM, FTOS
Deputy Director/Research Professor, Montana Center for Work Physiology and Exercise Metabolism, University of Montana

Kara Cooper, CCRC
Manager, Training and Curriculum Development, Research Integration Hub, Seattle Children’s Hospital

Laurie A. Hassell
Director of Community Engagement, Institute of Translational Health Sciences

Russell Lackey, MS
Director of Education, Institute of Translational Health Sciences

Allison Lambert, MD, MHS
Co-Director, NW PCI; Assistant Professor of Medicine, University of Washington

Cindi Laukes, MA, MFA
Director & Chief Operating Officer, Neural Injury Center; Research Affiliate Faculty, Integrated Physiology, University of Montana

Christy McKinney, PhD, MPH
Associate Professor, Department of Pediatrics, University of Washington; Director, KL2 Program, Institute of Translational Health Sciences

Jodi Smith, MD, MPH
Attending Physician, Seattle Children’s Hospital; Professor of Pediatrics, University of Washington School of Medicine; Co-Principal Investigator, Institute of Translational Health Sciences

Hilaire J. Thompson, PhD, RN, ARNP
Professor, Behavioral Nursing & Health Informatics, University of Washington; Co-Director, TL1 Program, Institute of Translational Health Sciences

Katherine R. Tuttle, MD, FASN, FACP, FNKF
Executive Director for Research, Providence Health Care; Regional Principal Investigator, ITHS

Blake Wiedenheft, PhD
Professor, Department of Microbiology & Cell Biology, Montana State University; Co-Director, TL1 Program, Institute of Translational Health Sciences