Meng Wu
Scientific Software Developer at Schrödinger
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMeng Wu is a Scientific Software Developer with a decade of experience building high-performance tools for molecular mechanics and drug discovery at Schrödinger. He holds a PhD in Physics from UC Berkeley and spent years as a postdoc developing first-principles many-body methods and parallel Fortran/MPI codes to simulate excited-state and magnetic materials. Meng combines deep theoretical expertise in DFT and many-body perturbation theory with hands-on HPC optimization using Intel MKL, ELPA and HDF5, and contributes to large-scale physics software such as CMS offline tools and MC event generation. Based in New York, he bridges academic research and production software, notably applying rigorous computational physics practices to accelerate force-field and simulation workflows. An unusual strength is his fluency across theory, numerical methods, and real-world detector/analysis code—allowing him to translate complex physics into scalable, production-ready software.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, BerkeleyBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Peking University
English, Chinese
Stackoverflow
502reputation
33kreached
43answers
0questions
Github Skills (15)
fortran10
eventing10
c-language10
high-energy-physics10
physics10
cprogramming-language10
cms9
cer9
experiment9
vector6
javascript6
stl6
python6
regex6
priority-queue6
Programming languages (5)
Github contributions (5)
cms-sw/genproductions
Sep 2018 - Jan 2023
Generator fragments for MC production
Role in this project:
Back-end Developer
Back-end DeveloperContributions:393 reviews, 94 commits, 289 PRs in 4 years 4 months
Contributions summary:Meng contributed to the `cms-sw/genproductions` repository by adding and modifying configuration files related to Monte Carlo (MC) production. Specifically, the commits introduce and update 'cuts.f' files within the MadGraph5_aMCatNLO framework for different dilepton mass ranges and aMGCatNLO configurations. This suggests a focus on event generation and filtering within a high-energy physics context. These modifications likely impact the event selection criteria and the simulated physics processes.
productionfragments
cms-sw/cmssw
Mar 2020 - Jun 2022
CMS Offline Software
Role in this project:Back-end Developer
Back-end DeveloperContributions:15 reviews, 6 commits, 15 PRs in 2 years 3 months
Contributions summary:Meng primarily contributed to the CMS Offline Software by modifying and updating code related to physics analysis and event filtering. Their work included adjustments to particle momentum and energy calculations, specifically focusing on lepton-related functions and selections. The contributions also involved updating configurations to handle both Run2 and Run3 data and the implementation of distributions. Additionally, they made modifications in various source files related to tracking and detector monitoring, enhancing their performance and compatibility.
cmshepcerncms-experimentc-plus-plus
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