Biao Li Email & Phone Number
@seer.bio
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Who is Biao Li? Overview
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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.
Email format at Revolution Medicines
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AeroLeads found 1 current-domain work email signal for Biao Li. Compare company email patterns before reaching out.
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.
Biao Li's current company
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Biao Li work experience
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Staff Data Scientist
• 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
Senior Bioinformatics Scientist
• 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.
Bioinformatics Scientist Ii
• 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
Bioinformatics Scientist I
• 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.
Instructor And Research Scientist
• 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
Ph.D. Candidate And Research Assistant
• 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
Co-Instructor
• Lectured weekly review sessions and supervised students in graduate-level course of Probability in Bioinformatics and Genetics
Research Intern
• 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.
Biao Li education
Doctor Of Philosophy (Ph.D.), Bioengineering - Top 10 Bioe Program (Statistical And Computational Track)
Bachelor'S Degree, Bioengineering
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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