Author: mrohith

Summer 2026 Teaching Fellow – RISE Computational Neurobiology

Boston University Summer Term seeks Teaching Fellows to work 7 weeks for the Practicum track of the precollege Research in Science & Engineering (RISE) program in summer 2026. The focus of the RISE: Practicum 1 course is Computational Neurobiology. The RISE Practicum is a six-week, non-credit program for exceptionally talented rising high school seniors. Students […]

Summer 2026 Teaching Fellow – RISE Data Science

Boston University Summer Term seeks Teaching Fellows to work 7 weeks for the Practicum track of the precollege Research in Science & Engineering (RISE) program in summer 2026. The focus of the RISE: Practicum 2 course is Data Science. The RISE Practicum is a six-week, non-credit program for exceptionally talented rising high school seniors. Students […]

MLSC Internship Challenge 2026–2027 Applications Now Open

The Massachusetts Life Sciences Center (MLSC) has opened the application period for the 2026–2027 Internship Challenge, supporting internships taking place May 1, 2026, through April 30, 2027. The Internship Challenge strengthens the talent pipeline for Massachusetts life sciences companies by providing college students with paid, hands-on work experience. The program enables small companies to hire […]

BabyVFM: Data-Efficient Pretraining of Vision LLMs Inspired by Infant Learning

BabyVFM: Data-Efficient Pretraining of Vision LLMs Inspired by Infant Learning Guest Speaker: Dr. Boqing Gong Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science Friday, 10th October, 2025 Abstract: Pretraining vision (large) foundation models (VFMs) is prohibitively expensive, making it a privilege for institutions with abundant resources and leaving independent researchers to downstream tasks, […]

From Cell Line to Command Line: My Unexpected Journey to Bioinformatics

Guest Speaker: Dr. Ming Tang Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science Monday, 15th September, 2025 Abstract: Dr. Ming will share his journey of learning bioinformatics from scratch, detailing how he transitioned from a wet-lab biologist to a computational biologist. He’ll offer practical tips, learning strategies, and career insights to help you […]