Team

Our Team

We are a diverse team comprising expertise spanning machine learning, bioengineering, computer vision, and omics analysis.

Dr. Sanju Sinha

Assistant Professor, Cancer Metabolism and Microenvironment Program

Dr. Sanju Sinha leads our lab’s research on computational methods to understand aging. He earned his PhD in Computational Biology from the University of Maryland and National Cancer Institute, with Dr. Eytan Ruppin and Dr. Brid Ryan. His Bachelor’s is in Bioengineering from the Indian Institute of Technology, Guwahati.

Dr. Mudra Choudhary, Computational Biologist

Dr. Choudhary is the developer of ecPath and currently focuses on applying computational methodologies and machine learning techniques to unravel the complex relationship between aging and cancer. Previously, she did her PhD breaking down RNA editing dysregulation in neuropsychiatric diseases at UCLA in the Xiao lab.

Sanmi Adeleye, Postdoc Fellow

Sanmi did his PhD in Computer Science at the Contextual Robotics Institute at UC-San Diego. With experience at Robotics and Computer Vision, Sanmi brings advanced computer vision experience.

Anamika Yadav, Research Assistant

Anamika joined our lab in October 2024. She previously worked as a Research Assistant at the Indian Institute of Technology, Delhi and as an Open Source Developer for Google Summer of Code. One of her interst is to understand reproductive aging and develop interventions against it.

Kyle Alvarez, LEAP Fellow

Kyle brings strong skills in bioinformatics and computational biology to our team. Proficient in BLAST, Bioconductor, R, and Python. He previously worked as a Machine Learning Programmer at La Jolla Labs Inc.

Ranjit Kumar Sinha, Research Associate

Ranjit has industry experience in data science and is now focused on research. He specializes in Python programming and statistical data analysis, contributing to the development of our computational tools for aging research.

Lauren Molony, PhD Student

Lauren is focused on neuroscience drug discovery and computational biology, with research experience in neuroimaging, EEG, and organoid models across multiple UCSD labs, having completed her BS in Neurobiology and Neurosciences from UC San Diego in 2023.