Xiaoliang Pan

Founding Member Of Technical Staff at Stealth AI Startup

New York, New York, United States
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Summary

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Senior
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Top School
Xiaoliang Pan is a founding member of technical staff at a stealth AI startup in New York with 13 years of experience translating physics-grounded molecular theory into production-ready modeling, ML, and scientific software. He has a PhD in physical chemistry and a long academic-to-industry trajectory—spanning postdoctoral research on equivariant ML potentials, QM/MM electrostatics, and enzyme design—now focused on zero-to-one technical execution and high-stakes architecture decisions. Xiaoliang pairs deep domain expertise with hands-on engineering: notable open-source contributions include backend fixes to the widely used ParmEd molecular toolkit, improving topology handling and netCDF data robustness. He excels at turning advanced theory into scalable systems that accelerate reliable discovery and enjoys collaborating with builders at the computation–science frontier.
code13 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy (PhD) Physical Chemistry, Doctor of Philosophy (PhD) Physical Chemistry at Jilin University
languagesChinese, English
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Github Skills (7)

python10
molecular-simulation10
scientific-computing10
data-structure9
data-structures9
develop8
numpy7

Programming languages (9)

TypeScriptC++CJavaScriptGoJupyter NotebookRubyFortran

Github contributions (5)

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ParmEd/ParmEd

Oct 2017 - Jun 2018

Parameter/topology editor and molecular simulator
Role in this project:
userBack-end Developer
Contributions:6 commits, 3 PRs, 2 comments in 7 months
Contributions summary:Xiaoliang primarily contributed to the project by fixing bugs and making improvements to existing functionality. Their work involved modifying core data structures and functions within the `parmed` library, particularly focusing on bond deletion and data handling in tools and parameter sets. Furthermore, the user addressed issues related to how certain properties, such as velocities and box information, were accessed and handled within the netcdf files.
physicslammpssimulationmolecularparameter
panxl/HartreeFock.jl

May 2020 - May 2020

Contributions:54 commits in 25 days
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