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Jacob Smigiel

Jacob Smigiel, PhD

Hongming Shang

Hongming Shang

Sebastiano Cultrera di Montesano

Sebastiano Cultrera di Montesano, PhD Sebastiano is a postdoctoral fellow at the EWSC , a center bridging AI and biology at the Broad Institute of MIT and Harvard. He obtained his PhD in computational topology at the Institute of Science and Technology Austria , working under the supervision of Prof...

Evelyn Tong

Evelyn Tong Evelyn is a PhD candidate in the Medical Engineering and Medical Physics (MEMP) program in the Harvard-MIT Health Sciences and Technology (HST) department. Her primary research interest is developing high-throughput methods along with single-cell genomic tools to identify cell-intrinsic...

John Jacob

John Jacob, PhD I am a postdoctoral fellow in the laboratory of Dr. William Hahn at the Dana-Farber Cancer Institute and the Broad Institute. I received my undergraduate degree from the University of Michigan, followed by a Ph.D. in Biomedical Sciences from The Ohio State University. My research...

Lanjing Wei

Langjing Wei, PhD

Shengmiao Chen

Shengmiao Chen, PhD Shengmiao is a postdoc in the Raghavan Lab. During his PhD, he focused on discovering cancer targets through CRISPR screening and elucidating molecular mechanisms. His current research aims to identify potential therapeutic targets for pancreatic cancer through screening. He...

Chibuikem Nwizu

Chibuikem Nwizu Chibuikem is a student in the Brown University MD-PhD Program. He completed the preclinical curriculum and is currently pursuing his PhD in Brown's Computational Biology graduate program. His interests lie in developing interpretable statistical methods for biologists to better...

Jimmy Hall

Jimmy Hall Jimmy is a Principal Data & Applied Scientist at Microsoft Research. Jimmy’s research interests are in computer vision, machine learning, and computational mathematics. His background is in computational mathematics, and he has worked on diverse projects, developing methods for digital...

Alex Lu

Alex Lu, PhD Alex is a Senior Researcher at Microsoft Research and is interested in how machine learning can help us discover new insights from biological data, by finding patterns that are too subtle or large-scale to identify unassisted. Alex’s research primarily focuses on biological images, with...