Xinran Lian
Postdoc at Argonne National Laboratory
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolXinran Lian is a postdoctoral protein designer with a PhD in chemistry and a decade of research experience spanning molecular biology, high-throughput sequencing, and protein expression and characterization. At the University of Chicago they led computational and experimental campaigns that expanded a functional SH3 protein library 7-fold, built and applied deep generative models for protein design, and implemented end-to-end NGS and assay pipelines. They combine hands-on wet-lab skills (yeast/bacteria culturing, Ni-NTA purifications, DSC, fluorescence binding assays) with Python- and MATLAB-driven data analysis and cloud-friendly workflows. Recent work includes computational antibody and CDR3 modeling with PyTorch-lightning and production-scale data cleaning on DataBricks, while current postdoc efforts focus on protein design at Argonne National Laboratory. Outside the lab they’ve translated meticulous experimental craft into micro-sculpture and a small successful online art business, reflecting an uncommon blend of technical rigor and creative precision.
10 years of coding experience
5 years of employment as a software developer
University of TokyoDoctor of Philosophy - PhD Chemistry, Doctor of Philosophy - PhD Chemistry at University of Chicago
Stackoverflow
11reputation
37reached
0answers
1question
Github Skills (15)
rcc8
pandas6
python6
proteins5
sequence4
evolutionary4
coupling3
modeling3
java2
javascript2
visualization2
scale2
markov-decision-processes1
markov1
sca1
Programming languages (2)
Github contributions (5)
chemgeeklian/memorize-aa
Jan 2017 - Sep 2019
Amino acid memorizing helper (Chinese version)
Contributions:2 PRs, 9 pushes, 2 branches in 2 years 8 months
chinesepythonphoneticsstandard-libraryagda
ranganathanlab/Reverse_translation
Oct 2020 - Jan 2023
Contributions:28 commits, 16 pushes in 2 years 2 months
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