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

The Institute for Informatics is pleased to offer undergraduate and graduate summer internship opportunities. BIDS@I2 provides students from various backgrounds, including: computer science, medicine, public health, biological sciences, statistics, and related fields, the opportunity to pursue research projects in the fields of applied clinical informatics, clinical research informatics, translational bioinformatics, and population health informatics. Under the guidance of faculty mentors and research scientists, the BIDS@I2 program focuses on the support and elevation of biomedical informatics through research translation and practice.

Through intensive informatics immersion, weekly seminars, faculty mentorship, and multiple presentation opportunities, students have the opportunity to build a body of evidence for current and future biomedical informatics practice, while gaining experience using tools and technologies utilized in biomedical research. The program culminates with a poster session, providing participants the occasion to professionally present their findings to university leadership.



BIDS Funding

  • Partial to full funding will be provided
  • Internship hours can vary between 20-40 hours per week


BIDS Timetable

The BIDS@I2 is an annual 10-week summer internship program that goes from the last week of May to the first week of August.

Please contact Andrea Krussel, Assistant Director of Education and Strategic Initiatives, at:, or Jeanne Silvestrini, Academic Advisor, at: with any questions regarding the summer internship process.


Faculty Mentors

Po-Yin Yen, PhD, RN (

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 (

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 (

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 (

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 (

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

Fuhai Li, PhD (

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 (

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 (

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