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Biao Li Email & Phone Number

Bioinformatics | DS/MLE | Genomics & Proteomics at Revolution Medicines
Location: San Francisco Bay Area, United States 9 work roles 2 schools
1 work email found @seer.bio LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Current company
Role
Bioinformatics | DS/MLE | Genomics & Proteomics
Location
San Francisco Bay Area, United States

Who is Biao Li? Overview

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Quick answer

Biao Li is listed as Bioinformatics | DS/MLE | Genomics & Proteomics at Revolution Medicines, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at seer.bio and a matched LinkedIn profile for Biao Li.

Biao Li previously worked as Principal Scientist, Bioinformatics at Revolution Medicines and Staff Data Scientist at Seer. Biao Li holds Doctor Of Philosophy (Ph.D.), Bioengineering - Top 10 Bioe Program (Statistical And Computational Track) from Rice University.

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{first_initial}{last}@seer.bio
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Profile bio

About Biao Li

Lead data scientist with 15 (10 post-PhD) years of biotech industry and academic research experiences• Statistical modeling, simulation, bioinformatics, analyzing large-scale structured and unstructured biomedical data• Developing ML, NLP/LLM, scalable and user-friendly data science solutions• Strategizing high-impact project plan, supervising team, providing technical direction and guidance• Proficient in Python (tesnorflow, PyTorch, Langchain, transformers, scikit-learn, pandas, streamlit, PyQt, and more), R (tidyverse, ggplot2, RShiny, markdown and more), Bash, AWS, Domino Data Lab, GCP, LaTeX, C++, MATLAB

Listed skills include Bioinformatics, R, Statistics, Matlab, and 13 others.

Current workplace

Biao Li's current company

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Revolution Medicines
Revolution Medicines
Bioinformatics | DS/MLE | Genomics & Proteomics
AeroLeads page
9 roles

Biao Li work experience

A career timeline built from the work history available for this profile.

Principal Scientist, Bioinformatics

Current

Redwood City, California, Us

On target to outsmart cancer

Feb 2024 - Present

Staff Data Scientist

Redwood City, California, Us

• Analytics lead on developing and launching Proteograph XT, a high-throughput product for deep unbiased pretomics• Designed and deployed large-scale cloud-based analytics platform enabling everyone in the company to process and make sense out of data on an easy and user-friendly manner• Exemplified and onboarded team with best coding practices in collaborative projects, enhancing reproducibility, shareability and readability of internal repositories• Set strategies, roadmaps and supervised team towards accomplishing data science goals• Built a CNN classification model using raw mass spectrometry intensity image maps enabling real-time QC procedure with >99% accuracy detecting sample contamination or operational errors• Strategized and prototyped a question & answering chat system over internal documents / datasets leveraging LLMs and fully open-sourced packages, greatly boosted productivities and freed data retention concern• First-authored 3 posters and presented at ASMS and US-HUPO conferences, co-authored 2 IP applications

May 2021 - Aug 2023

Senior Bioinformatics Scientist

San Diego, Ca, Us

• Data science liaison of bioinformatics collaborative support for on-market NIPT products, guiding and advising colleagues across functional units on addressing NIPT related technical affairs • Enabled new material for VeriSeq NIPT field use of PQ and competency testing• Performed modeling/simulation of large-scale genome-wide case studies, implemented quantitative guideline for explaining atypical testing results of VeriSeq NIPT assay• Investigated escalated issues, performed root cause analysis and evaluated risk of impact on assay performance • Contributed to design and verification test of TruSight Oncology 500 assay.

Feb 2020 - May 2021

Bioinformatics Scientist Ii

San Diego, Ca, Us

• Improved accuracy on estimating key parameter for VeriSeq NIPT classification algorithm• Assessed testing data for 70+ new NIPT customers globally, examined and resolved data/pipeline issues, evaluated impact on assay performance, identified areas of improvements for future products• Refined protocols of PQ, competency testing, and reagent kit QC, accounting for confounding factors• Developed and deployed interactive webapps empowering field scientists to quickly resolve commonly seen data inquires from customers

Feb 2018 - Jan 2020

Bioinformatics Scientist I

San Diego, Ca, Us

• Automated data collection, preprocessing, analysis, visualization and report generation pipelines for evaluating performance qualification and customer competency testing data of NIPT products• Analyzed testing data and enabled 30+ new installations of NIPT customers globally• Contributed to method developments and troubleshooting investigations.

Aug 2016 - Jan 2018

Instructor And Research Scientist

Houston, Texas, Us

• Investigated and developed statistical model and simulation framework for rare variant association/admixture mapping• Collaborated in establishing computational pipeline to clean, annotate and analyze Next-generation Exome Sequence data• Designed a statistical model to generate pedigree based rare variant sequence data for both Mendelian and Complex traits, and implemented the simulation program• Developed a novel statistical method to detect nonparametric genetic linkage in data with large locus heterogeneity

Jul 2013 - Jul 2016

Ph.D. Candidate And Research Assistant

Houston, Tx, Us

• Elucidated the sampling effect with intrinsic systematic inter-species differences on studying the evolution of microsatellite loci using stochastic modeling• Developed simulation framework for population based rare variant sequence data studies, evaluated performance of rare variant statistical association methods, and demonstrated there is no single most powerful method• Built a Monte Carlo simulation model to characterize DNA replication rate during cell cycles• Established a Branching Process stochastic model to study connections between cell fates in hippocampal neurogenesis and examined key unknown parameters, e.g. apoptotic rate

Feb 2009 - Jun 2013

Co-Instructor

Houston, Tx, Us

• Lectured weekly review sessions and supervised students in graduate-level course of Probability in Bioinformatics and Genetics

Jan 2013 - May 2013

Research Intern

Houston, Tx, Us

• Unraveled effect of known family histories on genetics association studies, employed study design model and performed simulation studies• Contributed in design and development of utility modules for simuPOP, a population genetics simulation environment.

Aug 2009 - Feb 2011
2 education records

Biao Li education

Doctor Of Philosophy (Ph.D.), Bioengineering - Top 10 Bioe Program (Statistical And Computational Track)

Rice University

Bachelor'S Degree, Bioengineering

Beihang University
FAQ

Frequently asked questions about Biao Li

Quick answers generated from the profile data available on this page.

What company does Biao Li work for?

Biao Li works for Revolution Medicines.

What is Biao Li's role at Revolution Medicines?

Biao Li is listed as Bioinformatics | DS/MLE | Genomics & Proteomics at Revolution Medicines.

What is Biao Li's email address?

AeroLeads has found 1 work email signal at @seer.bio for Biao Li at Revolution Medicines.

Where is Biao Li based?

Biao Li is based in San Francisco Bay Area, United States while working with Revolution Medicines.

What companies has Biao Li worked for?

Biao Li has worked for Revolution Medicines, Seer, Illumina, Baylor College Of Medicine, and Rice University.

How can I contact Biao Li?

You can use AeroLeads to view verified contact signals for Biao Li at Revolution Medicines, including work email, phone, and LinkedIn data when available.

What schools did Biao Li attend?

Biao Li holds Doctor Of Philosophy (Ph.D.), Bioengineering - Top 10 Bioe Program (Statistical And Computational Track) from Rice University.

What skills is Biao Li known for?

Biao Li is listed with skills including Bioinformatics, R, Statistics, Matlab, Machine Learning, Mathematical Modeling, Latex, and Computational Biology.

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