Akram Bayat is a data scientist with expertise at the intersection of AI and healthcare. She was a postdoc associate at MIT Media Lab where her research focused on creating novel intersections between engineering, medical imaging, machine learning, and medicine to develop innovative high-impact patient-centered research. Bayat received her Ph.D. in computer science from the University of Massachusetts Boston. During her Ph.D. research, she worked on developing machine learning algorithms for solving real-world problems and conducted experimental studies for modeling of human physical and...
Former BIDS Data Science Fellow Sara Stoudt is currently an Assistant Professor of Mathematics at Bucknell University. At UC Berkeley, she was a PhD student in Statistics advised by Professors Will Fithian and Perry de Valpine. Her research interests included ecological applications of statistics and assessing the identifiability and robustness of inference under model misspecification in species distribution models. She was also involved in teaching writing for statistics with Professor Deborah Nolan. Prior to being a BIDS Fellow, Sara was supported by a...
Ross Barnowski is a postdoctoral scholar working towards the development of open, interactive tools for learning and teaching NumPy. Ross has been involved in open source software for reproducible, collaborative science since 2015, primarily in his role as an educator. He holds a PhD in nuclear engineering from UC Berkeley and previously served as an assistant research scientist and lecturer in the department of nuclear engineering, teaching the graduate-level lab in nuclear instrumentation. His post-graduate research focused...