Jordan Greco, Ph.D. is Chief Scientific Officer at LambdaVision with 11 years of experience translating physical chemistry and biophysics into viable medical biotechnology solutions. He led preclinical programs that demonstrated a protein-based retinal implant in ex vivo and in vivo models, secured over $10M in non-dilutive funding, and authored regulatory and scientific communications including FDA briefing materials and patents. Jordan combines deep spectroscopic and computational expertise from his Ph.D. and postdoctoral work with hands-on product development, quality systems, and GMP analytical collaborations for a drug/device combination. He established novel experiments for layer-by-layer manufacturing on the International Space Station and participated in a Pre-IND meeting with the FDA, showing a rare blend of basic science and regulatory strategy. Based in Woodbridge, he also mentors teams and bridges academic research with commercial translation as an Assistant Research Professor at UConn. An interdisciplinary thinker, he pairs a background in archaeology and anthropology with a current interest in cryptography, reflecting broad curiosity beyond his core biotech focus.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physical Chemistry, Doctor of Philosophy (Ph.D.) Physical Chemistry at University of Connecticut
This repository describe the usage of neural networks to predict the affinity of peptides to MHC type I for humans. Neural networks was written in tensorflow and keras
Contributions:63 commits, 68 pushes, 4 branches in 1 year 5 months
Contributions:9 PRs, 64 pushes, 8 branches in 4 years
personnal
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Jordan Greco - Chief Scientific Officer at LambdaVision, Inc.