Laboratory Personnel

Our laboratory is deeply integrated in the innovative research and teaching carried out by the Department of Medicine’s Section for Quantitative Health. We use AI as a vehicle to integrate cutting-edge image science, spatial biology, clinical science, basic research, and engineering. Our AI faculty members also participate in graduate biomedical and medical programs. As part of this effort, Dr. Sarder is seeking motivated trainees or students to join his research group and focus on our novel research direction.

PRINCIPAL INVESTIGATOR

Pinaki Sarder

SENIOR SOFTWARE ENGINEER

Sayat Mimar

Expertise: AI, Data Science, Software Development

Postdoctoral Research Associate

Ahmed Naglah

Research: AI and Computational Pathology

POSTDOCTORAL RESEARCH ASSOCIATE

Wenbin Guo

Research: AR/VR, Computational Pathology and Machine Learning

Ph.d. sTUDENT, BIOMEDICAL ENGINEERING

Samuel Border

Research: Computational Pathology

PH.D. STUDENT, BIOMEDICAL ENGINEERING

Nicholas Lucarelli

Research: Computational Pathology

PH.D. STUDENT, electrical and computer engineering

Myles Joshua T. Tan

Research: Computational Pathology

ERS AI PH.D. Fellow, health outcomes and biomedical informatics

Akshita Gupta

Research: Computational Pathology

PH.D. STUDENT, ELECTRICAL AND COMPUTER ENGINEERING

Jamie L. Fermin

Research: Computational Pathology

incoming PH.D. STUDENT, BIOMEDICAL ENGINEERING

Hyunjae Jeong

Research: computational pathology, biomedical imaging and machine learning.

MS student, Computer Science

Sumanth Devarasetty

Medical Image Analyst

Ms student, COMPUTER SCIENCE

Nikhil Yerra

Medical Image Analyst

MS STUDENT, COMPUTER SCIENCE

Suhas Katari Chaluva Kumar

Medical Image Analyst

Bs STUDENT, Computer science

Julio A Maragall

Undergraduate Research Trainee

BS STUDENT, Electrical engineering

Daniel Giraldo

Undergraduate Research Assistant