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Basics
| Name | Chenlin Lu |
| Label | Postdoctoral Researcher |
| chenlin.helix@gmail.com | |
| Phone | (646) 236-6523 |
| Url | https://lucl13.github.io |
Education
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2017.09 - 2022.07 Beijing, China
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2018.08 - 2019.08 Tokyo, Japan
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2013.09 - 2017.07 Beijing, China
Research
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2022.09 - Present Postdoctoral researcher
Columbia University
Department: Biochemistry and Molecular Biophysics. Advisor: Prof. Anum Glasgow. Field: computational and experimental biophysics
- To determine site-resolved energetic information from hydrogen exchange-mass spectrometry (HX-MS) data
- To elucidate allosteric mechanism using the site-resolved free energies of opening (ΔGop)
- Developed PIGEON-FEATHER, a Bayesian method to determine site-resolved protection factors from peptide-level HX-MS data via isotopic mass envelope reconstruction
- Designed PFNet, an end-to-end ML method for predicting protection factors directly from raw mass spectra
- Unveiled the allosteric ligand regulation mechanism of phosphofructokinase by integrating HX-MS (PIGEON-FEATHER and PFNet) with MD simulations
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2018.08 - 2019.08 Graduate and joint program Researcher
Tokyo Institute of Technology
Department: Life Science and Technology. Advisor: Prof. Takafumi Ueno. Field: bioinorganic chemistry, and protein crystallography
- To determine the X-ray structure of the gold-clustering site in designed Fr-Au
- Solved high-resolution structures of the tunable gold clustering site
- Deposited PDBs: 7VIO, 7VIP, 7VIQ, 7VIR, 7VIS, 7VIT, and 7VIU
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2017.09 - 2022.07 Graduate researcher
Tsinghua University
Department: Chemical Engineering. Advisor: Prof. Zheng Liu, and Prof. Dianan Lu. Field: bioinorganic chemistry, computational and experimental biophysics
- To design new-to-nature metalloproteins and metalloenzymes
- Unveiled the Au ions transport mechanism using a MD-MSMs method
- Designed novel gold metalloproteins with a precisely tunable structure in apo-ferritin
- Leveraged Fr-Au metalloproteins as the first artificial metallo-cycloisomerase
- Elucidated the reaction mechanism using DFT calculations
Presentations
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2025.10.24 A machine learning method to discover hidden protein conformational states
Stowers Research Conferences: AI-Driven Approaches to Emergent Protein Behaviors
Talk, Kansas City, United States
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2025.07.18 PFNet: a machine learning method for calculating local protein stabilities from HX-MS data
Columbia University BMB Seminar Series
Talk, New York, United States
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2025.06.25 PFNet: a machine learning method for calculating hyperlocal protein stabilities from HX-MS data
NYC AI4Chemistry Summit 2025
Talk, New York, United States
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2024.10.09 Reshaping the free energy landscape of phosphofructokinase-1 by allosteric regulation
New York City Integrative Structural Biology Symposium
Poster Presentation, New York, United States
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2024.09.13 Site-resolved energetic information from HX-MS experiments
Columbia University BMB Retreat
Talk, New York, United States
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2024.05.03 High-resolution protection factor estimation via isotopic envelope reconstruction from medium-resolution HDX/MS datasets
Columbia University Postdoctoral Research Symposium
Poster Presentation, New York, United States
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2024.03.06 High-resolution protection factor estimation via isotopic envelope reconstruction from medium-resolution HDX/MS datasets
Winter RosettaCon 2024
Poster Presentation, Boston, United States
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2023.08.06 Reshaping the Free Energy Landscape of Phosphofructokinase-1 by Allosteric Regulation
Pre-RosettaCON 2023
Talk, Seattle, United States
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2023.06.26 Reshaping the Free Energy Landscape of Phosphofructokinase-1 by Allosteric Regulation
Columbia University Biophysics Mixer
Talk, New York, United States
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2019.10.17 Global and Kinetic Profiles of Substrate Diffusion in Candida Antarctica Lipase B: Molecular Dynamics with the Markov-State Model
Green China 2019
Poster Presentation (Best Poster Award), Beijing, China
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2019.03.13 Global and Kinetic Profiles of Substrate Diffusion in Candida Antarctica Lipase B: Molecular Dynamics with the Markov-State Model
The 9th Japan-China Symposium on Chemical Engineering
Poster Presentation, Tokyo, Japan
Support
- 2023.06
Anton2 allocations
Pittsburgh Supercomputing Center and the National Research Council
Co-PI, 330,000 simulation units
- 2022.10
ACCESS allocations
University of Illinois at Urbana-Champaign, and the National Science Foundation
700,000.0 ACCESS Credits, 2022-2023
Skills
| Programming language | |
| Python | |
| Bash | |
| Tcl |
| Machine learning | |
| Scikit-learn | |
| PyTorch | |
| Lightning |
| Data analytics and visualization | |
| NumPy, Pandas | |
| Matplotlib, Seaborn |
| Molecular dynamics | |
| Anton2 | |
| Gromacs, OpenMM | |
| VMD, MDTraj, MDAnalysis |
| Protein design and modeling | |
| Autodock | |
| Rosetta | |
| ProteinMPNN, RFdiffusion |
| DFT calculations | |
| g16 |
| Experimental Biophysics | |
| Protein expression and purification | |
| Hydrogen exchange/mass spectrometry (HX-MS) | |
| X-ray crystallography |
| Markov state models | |
| PyEmma | |
| Deeptime |