Tapia 2022 – Making Software That Makes a Difference: How to Make Equitable Products
Michelle Borkin
Assistant Professor, Khoury College of Computer Sciences, Northeastern University
Michelle Borkin is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University on the Boston Campus. Her work is focused on the development of novel visualization techniques and tools to enable new insights and discoveries in data. She works across disciplines to bring together computer scientists, doctors, and astronomers to collaborate on new analysis and visualization techniques. Her research has resulted in the development of novel computer assisted diagnostics in cardiology, scalable visualization solutions for large network data sets, and novel astrophysical visualization tools and discoveries. She is also passionate about broadening participation in computing, and computing for social good.
Prior to joining Northeastern, Borkin was a postdoctoral research fellow in computer science at the University of British Columbia and a research fellow at Brigham & Women’s Hospital. She received her PhD in applied physics at Harvard’s School of Engineering and Applied Sciences in 2014, as well as a master’s degree in applied physics, and a bachelor’s degree in astronomy and astrophysics and physics from Harvard University. Borkin’s work has been published in venues including IEEE VIS, IEEE Transactions on Visualization & Computer Graphics (TVCG), ACM CHI, and Nature, and recognized with paper awards at CHI 2020 and 2021. She is also a recipient of the IEEE VGTC Visualization Significant New Researcher Award early career award for significant research contributions in the field.
Aarti Sathyanaraynna
Assistant Professor, Khoury College of Computer Sciences, Northeastern University
Dr. Aarti Sathyanarayana’s research strives to improve human health and performance through digital phenotyping and biomarker discovery. She aims to translate enigmatic digital health data collected from smartphones, wearables, and biomedical devices, into actionable insights for clinical care and personal wellness. Her work has developed new signal processing and machine learning algorithms for time variant health data analysis. In addition to her role at Northeastern, Sathyanarayana also holds appointments in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, and the Clinical Data Animation Center at Massachusetts General Hospital and Harvard Medical School.
Sathyanarayana received her PhD in Computer Science from the University of Minnesota, where her dissertation was selected for the university’s Doctoral Dissertation Award. Since then, her work has won multiple junior investigator awards from the National Center of Women and Information Technology, the American Medical Informatics Association, the American Epilepsy Society, and the American Clinical Neurophysiology Society. Her expertise has also led her to hold positions at Apple, Intel, the Mayo Clinic, and Boston Children’s Hospital.
Silvio Amir
Assistant Professor, Khoury College of Computer Sciences, Northeastern University
I am an assistant professor in the Khoury College of Computer Sciences. I am also a core faculty member of the Institute for Experiential AI and of the NULab for Texts, Maps, and Networks at Northeastern University.
I work on Natural Language Processing and Machine Learning methods to analyze personal and user generated text, such as social media and clinical notes from Electronic Health Records. I am primarily interested in tasks involving subjective, personalized or user-level inferences (e.g. opinion mining and digital phenotyping). In particular, my work aims to improve the reliability, interpretability and fairness of predictive models and analytics derived from these data.
Holly Brugge Jimison, PhD, FACMI
Professor of Practice, Khoury College of Computer Sciences, Northeastern University
Holly B. Jimison is a professor of practice in the Khoury College of Computer Sciences and directs the Consortium on Technology for Proactive Care. Prior to joining Northeastern, she was Technology Advisor for the Office of Behavioral & Social Science Research at NIH. Her earlier work as medical informatics faculty at Oregon Health & Sciences University focused on technology for successful aging and scalable remote care. She served on the Executive Board of the Oregon Center for Aging & Technology and was past president of Oregon’s Health Information Management Systems Society chapter. As a fellow of the American College of Medical Informatics, Professor Jimison has made significant and sustained contributions to the field of biomedical informatics in the areas of pattern recognition, decision support, and consumer health informatics. She continues to deepen her influence in the field through her research on technology for successful aging and scalable remote care for older adults and patients with chronic conditions. As the director of the Consortium on Technology for Proactive Care at Northeastern University, she leads a multidisciplinary, multi-institutional effort to facilitate research in the area of home monitoring of health behaviors, including helping researchers address the challenges of big data related to large amounts of complex and noisy streaming data from multiple sources used to infer clinically relevant health behaviors. Dr. Jimison is currently also a visiting professor at UC Davis working on their Healthy Aging in a Digital World Initiative.
Harry N. Keeling
Director of the Howard’s Computer Science Program and an Associate Professor in the Department of Electrical Engineering and Computer Science
Dr. Harry N. Keeling is the Director of the Howard’s Computer Science Program and an Associate Professor in the Dept. of Electrical Engineering and Computer Science. Born in Washington DC. he was awarded a B.S. degree in Mathematics from Georgetown University, an M.S. degree in Computer Science from George Washington University, and a Ph.D. degree in Information Technology from George Mason University of Fairfax Virginia. He has published over 20 refereed articles and as Principal Investigator, Dr. Keeling has been awarded grants and contracts totaling over 5 million dollars from both private and public funding organizations, including the Air Force Office of Scientific Research, the National Science Foundation, the US Army Corps of Engineers, the Microsoft Corp and the National Archives and Records Administration (NARA). His current research pursuits seek to find practical ways of applying educational research and intelligent tutoring findings toward advancing both fields. Moreover, his research focuses on the semantic web, ontologies, knowledge engineering, and adaptive learning.