team

Bill Lotter, PhD

PI & Assistant Professor

Bill is an Assistant Professor at the Dana-Farber Cancer Institute & the Harvard Medical School. Previously, he was the CTO & Co-Founder of DeepHealth Inc., where he led the development of three FDA cleared products that use AI to assist in early breast cancer detection in mammography. These products are currently processing over 1 million mammograms per year, via the acquisition of DeepHealth by RadNet Inc. His AI/machine learning experience spans the domains of medical imaging, neuroscience, algorithmic trading, and sports analytics.

CLSB 11044, 3 Blackfan Circle, Boston, MA 02115

Katharina Hoebel, MD, PhD

Postdoctoral Fellow

Katharina is a medical doctor and Ph.D. graduate in Medical Engineering and Medical Physics from the Harvard-MIT Division of Health Sciences and Technology. She is currently a Postdoctoral Research Fellow at the Dana-Farber Cancer Institute & Harvard Medical School, working on developing and optimizing computer vision algorithms for medical imaging applications.

With a background in AI for medical image analysis, Katharina is now focusing on applying her skills to pathology, aiming to optimize the clinical implementation of deep learning tools to benefit medical professionals and patients. She holds an MD from Heidelberg University Medical School and a B.S. in Physics with a minor in Computer Science from Kiel University in Germany.

Marc Harary

Associate Computational Biologist

With a background in mathematics, my interests are in AI-assisted biomarker discovery, biomedical imaging, oncogenomics, algorithmic privacy, and theoretical computer science.

Jesseba Fernando, MS

Research Assistant

Jesseba is a research assistant in the Lotter lab. She comes from a developmental neurobiology lab with Joseph LoTurco at UConn and subsequently worked in a systems neuroscience lab with Mark Andermann at BIDMC. Her interests in taking an interdisciplinary approach to social, physical and technological systems led her to Northeastern’s Network Sciences PhD program which she will be starting in Fall 2023. In her free time, she can be found in the Emerald Necklace or the Arboretum.

Shobhit Agarwal

Research Trainee

Shobhit is a high school student at Reedy High School in Frisco, Texas. Previously, he worked at Ambience Healthcare on natural language processing algorithms and at Case Western Reserve University’s Brain Image Computing Laboratory (BrIC), where he worked on self-supervised imaging algorithms for whole slide image analysis. His research interests lie in few-shot learning, multimodal models, and machine learning interpretability.