With over a decade of expertise in genomics research and data analysis, I am a dedicated professional leveraging a data-centric approach to tackle challenges in cell and molecular biology. I bring more than 3.5 years of experience in Product Development Projects centered on single-cell genomics, leading initiatives and contributing to published research findings.
Overview
6
6
years of professional experience
Work History
Scientist
10x Genomics
Pleasanton, CA
07.2020 - Current
Led assay optimization using new reverse-transcription chemistry resulting twofold increase in sensitivity
This breakthrough enhances our ability in analyzing genomic profiles of varies cell types which broadens therapeutic applications
Supported the successful launch of the 5'CRISPR product and presented key results at the 5'CRISPR launch webinar in 2022, reaching an audience of ~130 industry professionals
Conducted data analysis for a combinatorial drug screening at a scale over 500k single-cells which is authored a published data spotlight, highlighting the successful utilization of a high-throughput assay product, showcasing analytical expertise
Mentored a team of three junior scientists, providing guidance on product development and experiment execution, facilitating their growth and knowledge acquisition
Played a pivotal role in supporting the launch of a low-throughput single-cell assay, actively engaging in data analysis to ensure optimal results
Additionally, contributed to the preparation of the launch webinar in 2022, effectively presenting key findings and achievements.
Postdoctoral researcher
Broad Institute of Harvard and MIT
Cambridge
09.2017 - 07.2020
Conducted NGS analysis for a CRISPR-based barcode library for tracking cellular clones, including precise data filtering strategies, achieving accurate sgRNA-barcodes counts, calculated clonal fitness measurements resulting in 1/2500 false-positive rate in identifying high fitness clones
Developed a high-throughput barcoding system capable of handling 100,000 clones concurrently, showcasing scalability and efficiency in tracking large-scale, complex tumor system, demonstrating a remarkable 10-fold improvement in tracking drug-resistant clones compared to existing methods
Engineered and optimized a cutting-edge CRISPR-based methodology tailored specifically for oncology research, enabling precise tracking of clones at an unprecedented frequency as low as ~1/2,000.
Education
Postdoctoral researcher - Bioengineering
Broad Institute of Harvard and MIT
07.2020
Ph.D. - Cellular And Molecular Biology
Northwestern University
09.2017
Skills
Product development
NGS and single-cell-seq data analysis
Experimental design and execution
Awards
10xer Award for exceptional work (2022)
Nominated for SALS Innovation Award (2022)
MWA Summer Pre-Doctoral Fellowship, American Heart Association (2016)
Publications
Jaffe D. B., Shahi P., Adams B. A., Chrisman A. M., Finnegan P. M., Raman N., Royall A. E., Tsai F et al. (2022) Functional antibodies exhibit light chain coherence. Nature
Feldman D
Funk L
Le A, Carlson R, Walton R, Leiken M, Tsai F, et al., (2021) Pooled genetic perturbation screens with image-based phenotypes. Nature Protocols (
Equal contributions)
And Tsai F
Et al., (2020) CloneRetriever: retrieval of rare clones from heterogeneous cell populations. BMC Biol (
Tsai F et al., (2017) Bim suppresses the development of SLE by limiting myeloid inflammatory responses. Journal of Experimental Medicine
(PCT/US2022/0l 7558) Drug screening methods (2022)
(WO 2019/089803) Methods and compositions for studying cell evolution (2019)
(PCT Application NO: PCT/US20/30286) Affinity-based multiplexing for live-cell monitoring of complex cell populations