TJ Lane is a group leader and structural biology specialist with 14 years of experience applying advanced x‑ray and XFEL methods to capture biomolecules at atomic resolution and in motion. He blends hands‑on experimental leadership (DESY, SLAC, Stanford) with software and data‑pipeline engineering—recently contributing backend improvements to the widely used mdtraj molecular dynamics analysis library. TJ has driven technical strategy in industry (CHARM Therapeutics) while continuing academic sabbaticals and a recent visiting role at Columbia to engage with cutting‑edge AI for structure prediction. He co‑founded Reciprocal Space Station to translate time‑resolved structural methods into new capabilities, and runs a group that pairs high‑throughput crystallography with statistical and ML approaches. Based in New York and trained with a PhD from Stanford, he uniquely bridges instrument development, computation, and biology to make the invisible movements of enzymes experimentally visible.
14 years of coding experience
7 years of employment as a software developer
BA, Chemistry, BA, Chemistry at Pomona College
Doctor of Philosophy (Ph.D.), Chemistry, Doctor of Philosophy (Ph.D.), Chemistry at Stanford University
An open library for the analysis of molecular dynamics trajectories
Role in this project:
Back-end Developer
Contributions:13 commits, 1 comment in 1 year 3 months
Contributions summary:TJ primarily contributed to the backend of the `mdtraj` library. Their work included adding and modifying methods for saving trajectories in different formats, specifically PDB, indicating involvement with data handling and file I/O. They also addressed and fixed bugs related to atom parsing in the PDB format and enhanced element parsing. The user's contributions extended to refactoring aspects of the codebase to improve the parsing of the prmtop file.
Contributions:14 releases, 45 reviews, 125 PRs in 2 years 2 months
crystallographydenoisingdifference-map
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