Peter G. Jacobs, Ph.D.
Associate Professor
Biomedical Engineering

Email

Joseph El Youssef, M.B.B.S.
Assistant Professor Endocrinology

As an endocrinologist trained at OHSU, with a specific interest in managing type 1 diabetes, I have gained a fair amount of experience in diabetes technology.  I have had  interest in mathematics and engineering since I was young, and this has helped to fuel my interest in biomedical engineering. Therefore, working together with the team at OHSU on the artificial pancreas has been a greatly rewarding experience and has allowed me to develop as a research investigator over the last 6 years. I look forward to continuing my work on the artificial pancreas and focusing my efforts on improving the accuracy of control algorithms to help treat type 1 diabetes.

Clara Mosquera-Lopez, Ph.D.
Research Assistant Professor

Dr. Mosquera-Lopez is a Research Assistant Professor in the Artificial Intelligence for Medical Systems Lab in the Department of Biomedical Engineering at OHSU. She received her B.S. in electronics engineering and her M.S. in management of technology from the Universidad Pontificia Bolivariana at Medellin (Colombia) in 2007 and 2010, respectively. She earned her Ph.D. in electrical engineering from the University of Texas at San Antonio in 2015. Her research interests lie at the intersection of biomedical signal processing and artificial intelligence for healthcare applications including digital health, computational biology, data-driven modeling, development of technologies for type 1 diabetes (T1D) management, and analysis of biosensors data. Currently, Dr. Mosquera-Lopez works on the development of novel technologies for solving several glucose prediction problems including short-term hypoglycemia and hyperglycemia as well as nocturnal hypoglycemia in T1D, heart signals analysis, and fall detection and risk estimation using advanced machine learning techniques.

Research website: https://clara.mosqueralopez.com/
OHSU page: https://www.ohsu.edu/people/clara-mosquera-lopez-phd

Robert Dodier, Ph.D.
Assistant Staff Scientist

Dr. Dodier's research interests include mathematical modeling of engineering problems and statistical analysis, especially Bayesian inference and decision analysis under uncertainty. In Bayesian inference, he has worked on applications to engineering problems, both predictive and diagnostic, and implemented an algorithm for exact and approximate inference.

Gavin Young, M.S.
Ph.D. Student

I received B.S. degrees in biochemistry and cellular biology and an M.S. degree in electrical engineering from the University of Arizona. I became interested in healthcare and translational research while studying epigenetic alterations in colorectal cancers as an undergraduate. Before medical school, I worked for a civil engineering firm in Phoenix, Arizona, and am now pursuing a Ph.D. in biomedical engineering back home in Portland, Oregon. My current research interests include medical electronics design, machine learning, and computer-aided diagnosis. As a part of the Jacobs Lab, I hope to gain experience building predictive algorithms that help patients better manage their type-1 diabetes. 

Andrew Nguyen, B.S.
Medical Student

I'm a medical student at OHSU currently in my third year. I graduated from the University of Oregon with a degree in Human Physiology and am primarily interested in physiological modelling. In the past, I worked at the University of Tokyo doing some motion analysis and muscle physiology projects. I'm currently doing some work quantifying glucose fluxes during exercise.

Joseph Leitschuh, B.S. Bio. E.
Research Associate

I graduated from Oregon State University in 2010 where I studied bioengineering. I have since worked as an engineer in a couple of different research labs at OHSU, both in the field of systems neuroscience, until starting here in 2015. Over the past few years I've developed an interest in software engineering. The projects we work on give me a chance to apply what I know and continue to build on my programming skills. I also love plants, playing instruments, doing things outdoors and working with my hands. My job is cool because it strikes a nice balance between biology, programming and building things.

Wade Hilts, M.S.E.E. 
Senior Research Software Engineer

Wade got his undergraduate degree in Engineering Physics at Tulane University, and later obtained a Master’s degree at Portland State with a focus on Control Theory. He is working on the control algorithms in the Jacobs Lab Artificial Pancreas project. His brother has Type I diabetes, so he has a personal connection to the work. He has hopes to develop a controller that will keep diabetics within a safe blood sugar range and be able to handle a wide variety of unpredictable circumstances.

Jon Folsom, M.S.E.E.
Research Software Engineer

Joseph Pinsonault
Research Software Engineer​​​​​​​

Rahul Narayan

PhD Student

Rahul received his M.S. degrees in Biomedical engineering and Computer Science & Engineering from University of Connecticut in 2014. Since then he has worked in the industry in a few areas within the machine learning domain such as speech recognition, fraud detection, and recommendation algorithms. When he’s not working Rahul likes to dabble in fun robotics projects, run trails and play tennis.

Taisa Kushner, PhD

Postdoctoral CI Fellow

Dr. Kushner earned her PhD in Interdisciplinary Quantitative Biology and Computer Science from the University of Colorado in 2020, advised by Dr. Sriram Sankaranarayanan. She also holds a MS in Applied Mathematics from the University of Colorado Boulder and a BA from St. Olaf College where she studied mathematics and art. Her postdoctoral work is funded by a CRA Computing Innovation (CI) Fellowship and is focused broadly on how autonomous medical devices that make critical decisions for patients can be constructed in a manner that is safe, robust and personalized to individual physiology using data-driven approaches.