Xiang Wang

Xiang Wang

PhD student

Baylor College of Medicine

Biography

Xiang Wang currently works with Prof. Cheng Chao at Baylor College of Medicine on cancer-related algorithmatic development. Specifically, we are looking at improving current methods of determine clonal evolution in scRNA data. I believe that by combining lineage tracing technology like cell phate and more clonal knowledge, we can better elucidate the cancer metastasis and evolution mechanism.

Interests
  • cancer biology
  • epigenetics
  • single cell technology
Education
  • PhD in Quantitative and Computational Biology

    Baylor College of Medicine

  • MB in Biotechnology, 2019

    University of Pennsylvania

  • BSc in Bioengineering Bioinformatics, 2017

    UC San Diego

Skills

R

100%

Statistics

90%

genomics

60%

Python

80%

machine learning

60%

image processing

60%

Experience

 
 
 
 
 
Weill Cornell Medicine
Bioinformatics Analyst
Jul 2019 – Jul 2021 New York City, NY

Responsibilities include:

  • Analysing bioinformatics data including Chip-seq scRNAseq RNAseq HiC HiChiP ATACseq and CutandRun
  • Modeling biological phenomenon and Statistical testing through patient and animal data to validate hypothesis
  • Deploying sequecing data analysis pipeline
  • Creating a sequecing database includes 2000+ sequecing files cumulated over 10 years period
 
 
 
 
 
janssen pharmaceuticals
Scientific Intern
May 2018 – Aug 2018 Spring House, Pennsylvania

Responsibilities include:

  • Analysing 1000+ patient data for treatment effect from clinical trial for two diseases
  • Validating patented signature efficacy in patient clinical outcome
  • Creating a machine learning algorithm in stratify responder vs non-responder group

Accomplish­ments

Coursera
Neural Networks and Deep Learning
See certificate
Penn Engineering Master Outstanding Resarch Award Honorary Mention
This is award to student who made a significant reserach contribution toward outstanding research outcome under a faculty guidence.

Recent Publications

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(2022). BCL10 mutations define distinct dependencies guiding precision therapy for DLBCL. Cancer discovery.

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(2022). Smc3 dosage regulates B cell transit through germinal centers and restricts their malignant transformation. Nature immunology.

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(2013). Genome-wide identification of structure-forming repeats as principal sites of fork collapse upon ATR inhibition. Molecular cell.

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