Esty Kelman
Focus: Theoretical Computer Science Esty is a postdoctoral fellow in the Computer Science department at Boston University’s Faculty of Computing and Data Sciences. She is supported in part by the Foundations of Data Science Institute (FODSI) and hosted by professors Krysztof Onak and Sofya Raskhodnikova at Boston University. Her research interests encompass theoretical computer science, […]
Peter Rock
Focus: Computational Geometry and its Applications to Political Redistricting Peter earned his Ph.D. in Mathematics at the University of Colorado Boulder where he worked underneath the guidance of Dr. Jeanne Clelland. His Ph.D. research was primarily in the area of discrete differential geometry: a field that lies at the intersection of computer science and differential […]
Ameya Gokhale
Focus: Statistical Modeling and Machine Learning Ameya is a first-year PhD student in the Faculty of Computing and Data Sciences department at Boston University. He is currently working with Dr. Pawel Przytycki to develop methods that analyze multi-modal genomics data. More specifically, he is creating models to analyze changes in cell states over developmental time […]
Heila Precel
Focus: Responsible Computing, Algorithmic Accountability Heila Precel is a PhD student at Boston University’s Faculty of Computing and Data Sciences, working with Allison McDonald. Previously, she worked at Microsoft as a Project Manager and earned her Bachelor’s in Computer Science from Brown University. Her research interests include computing ethics; algorithmic accountability & generative AI; information […]
Sahana Subramanya Kowshik
Focus: Computational Biomedicine; Machine Learning Sahana Kowshik is a PhD candidate in the Faculty of Computing and Data Sciences at Boston University. She is working with Professor Vijaya B. Kolachalama on applying machine learning methods for the assessment of neurodegenerative disorders. Her research interests broadly include multimodal representation learning and zero-shot learning (ZSL).
Sicheng (Tiger) Yi
Focus: Distributed Computing Tiger is a PhD candidate at Boston University’s Faculty of Computing and Data Sciences. Previously he worked with data scientists at the Foursquare Labs to detect geolocation data anomalies. He also had research experience in the LLM and ML in finance as he received the M.S. in Data Science at New York […]
Taishan Chen
Focus: Large-scale data, Graph System and Algorithm, Visualization Taishan Chen is a PhD candidate at Boston University’s Faculty of Computing and Data Sciences. Prior to that, he obtained a Master’s degree in Computer Science at Boston University, and also worked on developing concurrent graph processing systems. His experience lies in large-scale data analysis and graph […]
Wanli Cheng
Focus: AI4Science & Geometric Deep Learning Wanli Cheng is a PhD candidate in the Faculty of Computing and Data Sciences at Boston University. Previously he received a B.A. in Pure and Applied Math from Boston University and a M.S. in Physical Sciences from the University of Chicago, where he had extensively studied probability, statistical physics […]
Yuke Zhang
Focus: Statistical Modeling, Graph Machine Learning Exploring statistical analysis, text classification, and the prediction of extreme events in Climate Science, while also delving into Graph Neural Network applications within the Pharmaceutical industry are Yuke’s research focus. Yuke’s exposure to these diverse contexts guides their interest in Statistical Inference and Graph-related Machine Learning problems, considering fairness […]
Alishah Chator
Focus: Applied Cryptography & Privacy Alishah earned his PhD in computer science at Johns Hopkins University under the guidance of Prof. Matthew Green, specializing in applied cryptography. He seeks to bridge the gap between cryptographic theory and real-world application, ultimately benefiting those who need robust privacy tools the most. His research is centered on making […]