Beibei Chen Ph D

Beibei Chen, Ph.D. has a diverse and extensive work experience in various fields, including bioengineering, data science, and computational biology.

Starting from their most recent role, Beibei is currently working as a Senior Engineer at Form Bio since 2022. Prior to that, they worked as an Advisor and Machine Learning Engineer at Colossal Biosciences from 2021 to 2022.

From 2017 to 2021, Beibei worked at Expedia Group, where they held the roles of Staff Data Scientist and Senior Data Scientist. During this time, they developed algorithms for predicting property potential rent and implemented methodologies such as Natural Language Processing to improve customer satisfaction and increase competitive set coverage.

Before joining Expedia Group, Beibei was employed at UT Southwestern Medical Center from 2012 to 2017. As a Computational Biologist, they developed statistical methods for analyzing CRISPR-Cas9 knockout data, improved CLIP-seq analysis pipelines, and performed data analysis for mychart provider and user messaging data.

Beibei also has experience as a Visiting Scholar at Beijing Institute of Genomics, CAS from 2011 to 2012. Here, they utilized public transcriptome information, performed data analysis, and set up a local UCSC genome browser to enhance productivity in the lab.

In their earlier career, Beibei worked as a Graduate Student at the Institute of Biophysics, Chinese Academy of Science from 2006 to 2011. During this time, they developed novel methods for visualizing time-series gene expression data, conducted logistic regression analysis on miRNA expression, and used least discriminant analysis to identify gene markers for various types of cancers.

Lastly, Beibei gained research experience as a Research Assistant at Yale University in 2010, where they analyzed gene expression and epigenomic data to study genomic markers and performed statistical analyses on miRNA expression.

Overall, Beibei Chen, Ph.D. has demonstrated expertise in bioengineering, data science, and computational biology through their diverse work experience in both industry and academic settings.

Beibei Chen, Ph.D., obtained a Bachelor's degree in Computer Science from Huazhong University of Science and Technology, where they studied from 2002 to 2006. Beibei then pursued a Ph.D. in Bioinformatics at the Institute of Biophysics, Chinese Academy of Sciences from 2006 to 2011, with a focus on Bioinformatics and Computational Biology.

In addition to their formal education, Beibei Chen has also obtained several certifications. In December 2017, they completed courses on Convolutional Neural Networks, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, and Neural Networks and Deep Learning, all from Coursera.