Keshav Mohan

• Researched the clinical applications of placental tissue and autologous amniotic membrane in regenerative medicine and wound healing, with a focus on topical and graft-based therapies for wounds and tears
• Synthesized findings from biomedical literature to evaluate comparative efficacy, clinical implementation, and translational potential, contributing to study design and the development of a prospective research pitch on amnion as a bioactive graft versus standard care.

Research Intern – Computational Drug Discovery

• Investigated NDST1 as a therapeutic target in heparan sulfate biosynthesis and designed a computational pipeline for inhibitor discovery.
• Applied AutoDock Vina for molecular docking, REINVENT4 for deep learning–based generative design, and the ZINC Database for virtual screening of small molecules.
• Prioritized candidate inhibitors by evaluating binding affinity, drug-likeness, and BBB permeability, contributing to a scalable framework for enzyme inhibitor discovery.

• Taught coding classes to students of varying ages, focusing on foundational programming concepts and problem-solving
• Developed engaging and interactive coding lessons to help elementary and middle school students build skills in programming languages such as Python and Java

• Teach online classes to over 50 students yearly in life sciences, earth sciences, and physical sciences
• Develop and create test papers to enhance learning and assessment