Micah Benson
Micah studies the societal impacts of large language models (LLMs) as a PhD Student at Boston University’s Faculty of Computing & Data Sciences. He uses interpretability methods to investigate how LLMs represent social concepts such as identity and politics, with the goal of developing techniques to improve model fairness. He also conducts audits that simulate […]
Anshuman Senapati
Anshuman Senapati is a PhD student at Boston University’s Faculty of Computing and Data Sciences. He received his Master’s degree in Computer Sciences from the University of Wisconsin-Madison. His research broadly focuses on developing machine learning algorithms for sequential decision-making and optimal control. Research focus: Reinforcement Learning
Brandon Wolf
Brandon Wolf is a PhD student in Computing and Data Sciences at Boston University, working with Professor Elizabeth Barnes. He received his Bachelor of Science in Data Science from the University of Wisconsin-Madison. His research interests are in machine learning, AI emulators, and explainable artificial intelligence. Research focus: Subseasonal forecasting
Mridul Mahajan
Mridul Mahajan is a PhD student at Boston University’s Faculty of Computing & Data Sciences, advised by Aldo Pacchiano. Previously, he was a Guest Researcher at the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Software Systems, where he worked on Reinforcement Learning and Robot Learning. His research focuses on reinforcement […]
Anush Kini
Anush Kini is a first-year PhD student in the Faculty of Computing and Data Sciences at Boston University. Previously, he was a Research Fellow at Microsoft Research India, where he worked on various projects in machine learning. His interests lie in sequential decision making, particularly in reinforcement learning and bandits. Learn more about Anush Research […]
Farid Karimli
Farid is a Computing & Data Sciences PhD student at Boston University, where he also earned his BA in Computer Science and MS in Data Science. His work focuses on human-centered AI, particularly multimodal and agentic systems that support learning, accessibility, and personal productivity. He’s passionate about designing technologies that adapt to users and make […]
Princessa Cintaqia
Princessa Cintaqia is a PhD candidate at Boston University’s Faculty of Computing and Data Sciences advised by Dr. Allison McDonald. Previously, she did research at the Max Planck Institute for Security and Privacy in Germany and at Penn State University. She obtained her bachelor’s degree from the University of Indonesia. She is interested in computer […]
Ameya Gokhale
Ameya Gokhale 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 and disease progression. Research focus: […]
Heila Precel
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 integrity; and usable security. Learn […]
Sahana Subramanya Kowshik
Sahana Kowshik is a PhD student in the Faculty of Computing and Data Sciences at Boston University (BU), working with Professor Vijaya B. Kolachalama. She obtained her M.S. in Computer Science from BU. Her research interests broadly include post-training techniques for Large Language Models (LLMs), with a current focus on leveraging them to assess neurodegenerative […]