Haoyun Lei
Advanced AI Engineer at Accenture
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolHaoyun Lei is an Advanced AI Engineer with eight years of interdisciplinary experience at the intersection of computational biology, machine learning, and bioinformatics, currently working on LLM engineering at Accenture’s Center of Advanced AI. A CMU-trained PhD candidate in Computational Biology with an MS in Machine Learning, he has led algorithm and model design for tumor deconvolution, MRD classifiers, and early cancer detection at GRAIL and in academic projects, achieving high accuracy on small datasets where other methods struggled. Haoyun combines practical software and optimization skills—Gurobi/SCIP MILP, coordinate descent for NMF, PCA, EM clustering—with applied ML like transfer learning and BERT fine-tuning for clinical text, reflecting a rare fluency across math, systems, and biology. Based in Menlo Park, he is drawn to problems that fuse imaging, genomics, and language signals to reveal hidden clinical relationships and scale biological discovery into industry-ready solutions. A less obvious strength is his track record of improving sensitivity on low-signal genomic panels and designing data augmentation frameworks that boost multi-cancer detection performance.
8 years of coding experience
7 years of employment as a software developer
B.S. Biology/Biological Sciences General, B.S. Biology/Biological Sciences General at Huazhong University of Science and TechnologyMaster of Science - MS Machine Learning, Master of Science - MS Machine Learning at Carnegie Mellon University School of Computer ScienceDoctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Carnegie Mellon University
English, Chinese
Github Skills (25)
genetics8
simulate7
genetic7
genomics7
sequence6
bioinformatics6
simulation6
python5
bayesian4
discovery3
polymorphism3
dockstore2
health2
icd2
classification1
Programming languages (5)
Github contributions (5)
leovam/leovam.github.io
Feb 2018 - Apr 2024
Contributions:19 pushes, 1 branch in 6 years 3 months
CMUSchwartzLab/SCS_deconvolution
Oct 2018 - Feb 2019
Contributions:43 commits, 36 pushes in 3 months
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