Summer Internships
in Biomedical Informatics & Data Science
at the Institute for Informatics (BIDS@I2)

BIDS@I2 is a funded, 10-week internship opportunity allowing undergraduate students from diverse backgrounds to explore the field of biomedical informatics.

The BIDS program trains students in biomedical informatics and data science core competencies. Under the guidance of faculty mentors & research scientists, BIDS interns focus on the support & elevation of biomedical informatics through research translation and practice

As a BIDS@I2 intern, you will:

  • Work within the lab of an I2 faculty member & participate actively in research in progress
  • Receive biomedical informatics & data science training
  • Participate in interdisciplinary, weekly lab meetings
  • Attend weekly seminars
  • Collaborate with fellow interns, faculty & staff on projects and research
  • Attend I2 retreat & present summer research
  • Create a scientific poster for a culminating event for the WUSM community
  • Experience a broad range of biomedical informatics & data science research methods, technology, and theories

I2 selects students based on background, experience, skills & interest in learning more about informatics. To promote interdisciplinary collaboration, I2 recruits students from various disciplines, including, but not limited to:

  • Health Science
  • Public Health
  • Nursing
  • Pharmacy
  • Medicine
  • Psychology
  • Mathematics
  • Data Science
  • Computer Science
  • Visual Arts
  • Engineering

Dates & Deadlines

  • The BIDS@I2 2020 application opens December 15, 2019
  • The application closes on March 1, 2020
  • The BIDS@I2 2020 program dates are May 26 – July 31, 2020

Application opens December 15, 2019

For more information, please contact Jeanne Silvestrini, Academic Advisor, at j.silvestrini@wustl.edu, or (314) 273-5464.

Faculty Mentors

Po-Yin Yen, PhD, RN (yenp@wustl.edu)

Research Interests: applied clinical informatics, fostering the connection between research and practice, promoting informatics training to the next generation of health professions education, and providing a user-friendly and easily adaptable HIT environment for clinicians

Albert M. Lai, PhD (amlai@wustl.edu)

Research Interests: the application of natural language processing, temporal reasoning and information fusion to generate a longitudinal computable phenotype to support clinical trial prescreening

Philip Payne, PhD, FACMI (prpayne@wustl.edu)

Research Interests: 1) knowledge-based approaches to the discovery and analysis of bio-molecular and clinical phenotypes and the ensuing identification of precision diagnostic and therapeutic strategies in cancer, 2) interventional approaches to the use of electronic health records in order to address modifiable risk factors for disease and enable patient-centered decision making, and 3) the study of human factors and workflow issues surrounding the optimal use of healthcare information technology

Randi Foraker, PhD (randi.foraker@wustl.edu)

Research Interests: 1) approaches for the integration of socioeconomic and patient-reported outcome data with electronic health record data, 2) interventional approaches to the use of electronic health records in order to address modifiable risk factors for disease and enable patient-centered decision making in primary care, cardiology, and oncology, and 3) study design methodology and data analysis

Chih-Hung Chang, PhD (chih-hung.chang@wustl.edu)

Research Intersts: integration of methodology and technology to advance clinical care, research and education.

Fuhai Li, PhD (fuhai.li@wustl.edu)

Research Interests: application of mathematical, statistical, and machine learning approaches to big and diverse data sets in order to solve biological and clinical challenges in treating complex diseases, such as cancer

Thomas Kannampallil, PhD (thomas.k@wustl.edu)

Research Interests: development and evaluation of clinical decision support systems, wearable devices for predicting psychological events, conversational agents for just-in-time interventions, modeling temporal trajectories (e.g. pain, hypoxemia)

Joanna Abraham, PhD (joannaa@wustl.edu)

Research Interests: 1) error management in handoff communication, 2) evaluation of care coordination supported by the use of computerized provider order entry system (CPOE), 3) coordination of distributed clinical activities to manage information and task interdependencies, 4) team cognition in clinical teams, and 5) tools for care transitions between emergency department and outpatient clinics

Program Director

Po-Yin Yen, PhD, RN
Assistant Professor
Institute for Informatics (I2), Department of Medicine
Division of General Medical Sciences
Washington University School of Medicine
Goldfarb School of Nursing
Barnes Jewish College, BJC Healthcare
yenp@wustl.edu
314-273-2213