Neuroscience

Our research integrates investigating the structure and function of targeted membrane proteins with development of mixed reality tools for workforce development. We combine biochemical and biophysical techniques to investigate the structure and function of two classes of membrane proteins. In the first instance, we are investigating the mechanism of a zinc transporter, hZIP4. This protein has been implicated in the initiation and progression of pancreatic cancer. Despite the central role of this protein in cellular homeostasis, the mechanism of cation transport is not well understood.

Dr. Jean King is the WPI Peterson family Dean in the School of Arts and Sciences. She also serves as a Professor of Biology and Biotechnology, affiliate Professor in Biomedical Engineering Department, Professor in the Neuroscience Program and Director, NeuroTech Suite at WPI. Prior to joining WPI, she was vice provost for biomedical research at the University of Massachusetts Medical School; a tenured professor of psychiatry, radiology, and neurology; and director of the university’s Center for Comparative Neuroimaging.

Professor Kong’s research interests focus on data mining and machine learning, with emphasis on addressing the data science problems in biomedical and social applications. Data today involves an increasing number of data types that need to be handled differently from conventional data records, and an increasing number of data sources that need to be fused together. Dr. Kong is particularly interested in designing algorithms to tame data variety issues in various research fields, such as biomedical research, social computing, neuroscience, and business intelligence.

My research is interdisciplinary and spans the fields of bioinformatics of complex diseases, computational genomics, systems biology, and biomedical data analytics. We bring expertise in machine learning, data mining, and massive data analytics to study molecular mechanisms underlying genetic disorders, such as cancer, diabetes, and autism, and deadly infections, such as pandemic flu. Our approaches benefit from integrating multi-omic, systems, and structural biology data.

I work with Dean Jean King, where our research is broadly focused on identifying and studying neurobehavioral mechanisms of mental illness and developing effective interventions. We currently use functional MRI (fMRI) to identify the neural correlates of mindfulness based stress reduction as part of a stage IIa randomized clinical trial, and fMRI data combined with related clinical measures to develop machine learning based early predictors of severe depression and suicidality.

Angela Incollingo Rodriguez is an assistant professor of Psychological & Cognitive Sciences and Neuroscience. She directs the Stigma Eating & Endocrinology Dynamics (SEED) Lab and collaborates on interdisciplinary research initiatives across WPI and the globe.

Carolina Ruiz is the Associate Dean of Arts and Sciences and the Harold L. Jurist ’61 and Heather E. Jurist Dean's Professor of Computer Science. She joined the WPI faculty in 1997. Prof. Ruiz’s research is in Artificial Intelligence, Machine Learning, and Data Mining, and their applications to Medicine and Health. She has worked on several clinical domains including sleep, stroke, obesity and pancreatic cancer. Prof.

Suzanne Scarlata, Richard Whitcomb Professor of Chemistry and Biochemistry, joined the university faculty in 2016. She studies how small molecules in the bloodstream can change the behavior of cells. In particular, she is interested in how certain hormones and neurotransmitters can activate a family of organic molecules known as G proteins (guanine nucleotide-binding proteins), which are involved in transmitting signals from various stimuli from the exterior to the interior of cells.

Jeanine Skorinko is a professor of psychology at Worcester Polytechnic Institute in the Department of Social Science and Policy Studies. She also is the director of the Psychological & Cognitive Science program. She received her PhD in social psychology at the University of Virginia.

My research is in human-computer interaction. One focus of my research is on next-generation interaction techniques, such as brain-computer interfaces, physiological computing, and reality-based interaction. My students and I design, build and evaluate interactive computing systems that use machine learning approaches to adapt and support the user’s changing cognitive state and context. I also investigate novel paradigms for designing with accessibility in mind, particularly for the Deaf community.

It has been my lifelong dream to become a professor in the field of Biology. Being a faculty member provides a great opportunity to teach and interact with students. Students by nature are highly inquisitive and motivated, and as teachers, we have the responsibility to guide our students to explore and think in new ways. I believe that teaching is a two-way interaction between teachers and students. I come from India and my parents, both of whom were teachers, taught me to strive for excellence in my scholarly pursuits.