Experience

Internship

IBM Thomas J. Watson Research Center, Computational Genomics Group, Yorktown Heights, NY
May.2016 - August.2016
Using public cancer immunotherapy response and gene expression data sets, we try to identify the gene signatures that predicts immunotherapy effectiveness and resistance.

Teaching

Introduction to R, Tri-institution: Weill Cornell, Rockefeller and Memorial Sloan Kettering
Instructor, SP2016, FL2016, SP2017, FL2017.
Course materials can be found here.

Technical Skills

Programming languages: R, Python (sklearn, Tensorflow, Keras), matlab, C++, Java, Unix shell scripting, scripting in HPC clusters.
Next-generation sequencing assays: RNA-seq, ChIP-seq, ATAC-seq.

Relevant Courses

• Probability & Statistics:
  • Matrix Algebra (MATH309): A+
  • Intermediate Statistics and Data Analysis (MATH3200): A+
  • Biostatistics (MATH322): A
  • Bayesian Statistics (MATH459): A
  • Probability (MATH493): A-
• Computer Science & Machine learning:
  • Computer Science (CSE131, CSE132): A
  • Logic and Discrete Mathematics (CSE240): A
  • Algorithms and Data Structures (CSE241): A-
  • Introduction to System Software (CSE361S): A
  • Machine Learning (CS4780): Pass
  • Applied Machine Learning (CS5785): A
  • Probablistic Graphical Models (BTRY6790): A-

University Service

Tri-I CBM program Student Council member (2015-2016).
Tri-I CBM program Committee member (2016-2017).