Stephen Hwang
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Stephen Hwang Email & Phone Number

Computational Catalyst Intern at Genentech
Location: San Diego, California, United States 11 work roles 3 schools
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Role
Computational Catalyst Intern
Location
San Diego, California, United States

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Stephen Hwang is listed as Computational Catalyst Intern at Genentech, based in San Diego, California, United States. AeroLeads shows a matched LinkedIn profile for Stephen Hwang.

Stephen Hwang previously worked as Computational Genomics PhD, Langmead Lab at The Johns Hopkins University and Graduate Student Researcher at Uc Santa Cruz, Computational Genomics Lab. Stephen Hwang holds Doctor Of Philosophy - Phd, Xdbio from The Johns Hopkins University.

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Genentech

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About Stephen Hwang

I am a Computational Genomics PhD student interested in applying computational methods to precision health and synthetic biology. Experienced in pangenomics and transcriptomics with a strong foundation in statistics and biology.

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Genentech
Genentech
Computational Catalyst Intern
San Diego, CA, US
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11 roles

Stephen Hwang work experience

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Computational Catalyst Intern

San Diego, CA, US

Graduate Student Researcher

Uc Santa Cruz, Computational Genomics Lab
  • Extended the Variation Genomics short-read pangenome mapper, Giraffe, to long-reads by developing and benchmarking methods for minimizer selection in HiFi and Nanopore long-reads (C++, BASH scripting)
Oct 2021 - Aug 2022

Braingeneers Lab: Undergraduate Researcher

Santa Cruz, CA

  • Analyzed single-cell RNA sequencing data from cerebral organoids across developmental checkpoints to explore the role of NOTCH2NL in human brain development (Python, Scanpy)
  • Used methods including differential gene expression, gene set enrichment analysis, weighted correlation network analysis, cell fate trajectory, and RNA velocity
Apr 2019 - May 2022

Bioinformatics Intern

  • Analyze differential expression and gene ontology of bulk RNA-seq samples of iPSC-cardiomyocytes to compare the toxicity of varying treatments
  • Developed an RShiny platform for a user-friendly interface to explore merged and batch-corrected bulk RNA-seq datasets used by internal biologists (R, RShiny, DESeq2)
Aug 2020 - Mar 2022

Igem, Ucsc 2021: Co-Captain

  • Co-led a team of 16 undergraduate researchers to develop a sequence-specific gene elimination system in prokaryotes to reduce Shiga toxin-producing E. coli outbreaks
  • Designed and built the Progenie system involving phage delivery of a conjugatable plasmid encoding a CRISPR RNA-guided transposon system
  • Statistically modeled the conjugative spread of Progenie in a mixed-culture
  • Awarded Gold Medal at the 2021 iGEM Jamboree
Oct 2020 - Oct 2021

Bernick Lab: Undergraduate Researcher

Santa Cruz, CA

  • Developed a Python bioinformatics tool for codon-optimized Golden Gate Assembly streamlined to order plasmid gene blocks from IDT
Apr 2019 - Oct 2021

Baskin School Of Engineering: Group Tutor

  • Group tutor for Research Programming in Life Sciences, BME 160
  • Held group tutoring sessions to help students with bioinformatics programming assignments
Jan 2020 - Jun 2021

Teacher Assistant

  • Teaching assistant for Research Programming in Life Sciences, BME 160
  • Held office hours, section, and graded bioinformatics programming assignments
Jan 2021 - Mar 2021

Ucla: Jae Hoon Sul Lab

  • Trained a convolutional neural network to identify structural variation breakpoints
  • Developed an accompanying pipeline to detect copy number variation from whole-genome sequencing data (Python, Tensorflow)
  • Won the Bruins in Genomics COVID-19 Modeling Hackathon
  • Received Top Presentation Award at Bruins in Genomics Symposium
Jun 2020 - Mar 2021

Big Data Summer Institute: Summer Researcher

Ann Arbor, MI

  • Deconvolved glioblastoma tumor bulk RNA-seq data and used Kaplan-Meier survival curves and Cox models to identify significant associations between tumor microenvironment immune cell type and patient survival (R.
  • Compared 11 bulk RNA-seq deconvolution methods
  • Presented at the 2019 Northern California Computational Biology Symposium & AAAS 2020
Jun 2019 - Jul 2019
3 education records

Stephen Hwang education

FAQ

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What company does Stephen Hwang work for?

Stephen Hwang works for Genentech.

What is Stephen Hwang's role at Genentech?

Stephen Hwang is listed as Computational Catalyst Intern at Genentech.

Where is Stephen Hwang based?

Stephen Hwang is based in San Diego, California, United States while working with Genentech.

What companies has Stephen Hwang worked for?

Stephen Hwang has worked for Genentech, The Johns Hopkins University, Uc Santa Cruz, Computational Genomics Lab, Uc Santa Cruz Genomics Institute, and Tenaya Therapeutics.

How can I contact Stephen Hwang?

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What schools did Stephen Hwang attend?

Stephen Hwang holds Doctor Of Philosophy - Phd, Xdbio from The Johns Hopkins University.

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