Weixi Zhao
About Weixi Zhao
Weixi Zhao is a Postgraduate Researcher at Yale University, specializing in biotechnology and human genetics. With a background in synthesizing triplex-forming PNAs and conducting genetic assays, Zhao has contributed to various projects aimed at correcting genetic disorders.
Work at Yale University
Weixi Zhao has been employed as a Postgraduate Researcher at Yale University since 2017. The position is located at 333 Cedar Street, New Haven, CT. In this role, Zhao has contributed to various research projects, including the synthesis and assessment of Bis-PNA and the preparation of PNA-DNA triplex for crystallization. The work focuses on advancing the understanding of genetic disorders and potential therapeutic approaches.
Education and Expertise
Weixi Zhao's educational background includes a Master of Science in Human/Medical Genetics from the University of Michigan Medical School, completed in 2017. Prior to this, Zhao earned a Bachelor of Science in Integrative Biology and Statistics with Honors from the University of Illinois at Urbana-Champaign, studying from 2013 to 2016. Zhao also studied Biotechnology at Shanghai Jiao Tong University from 2011 to 2013, where foundational knowledge in the field was developed.
Research Contributions
During the research career, Weixi Zhao has synthesized various versions of 30-40mer triplex-forming PNAs and purified them using HPLC. Zhao verified these compounds through MALDI as part of a project aimed at PNA-DNA mediated correction of genetic disorders. Additionally, Zhao has performed ddPCR, AS-PCR, and deep sequencing to verify gene correction both in vivo and in vitro, contributing to advancements in genetic research.
Previous Work Experience
Before joining Yale University, Weixi Zhao worked as a Data Analyst at Exeltis for two months in 2014 in Shanghai City, China. In this role, Zhao produced and purified 3E10 antibodies and analyzed primary data using Prism 7 and Image J. Zhao also served as a Lab Assistant and Data Analyst at the University of Illinois at Urbana-Champaign from 2015 to 2016, where data analysis was conducted using R and Prism7 to improve data visualization for drug dosage determination.