←cd ~

cv pdf

Ph.D. candidate in Chemical Biology at MIT, focusing on AI for Science, spatial transcriptomics, and computational biology.

General Information

Full Name Jiahao Huang
Email jiahaoh@mit.edu
Location Cambridge, MA
Languages English, Mandarin

Education

  • 2022 - Present
    Ph.D. in Chemical Biology
    Massachusetts Institute of Technology, Cambridge, MA
    • Department of Chemistry
    • {"Advisor"=>"Prof. Xiao Wang"}
  • 2017 - 2018
    M.S. in Bioinformatics
    Georgetown University, Washington D.C.
    • Department of Biochemistry, Molecular & Cellular Biology
  • 2013 - 2016
    B.S. in Biochemistry
    Purdue University, West Lafayette, IN
    • College of Agriculture

Research Interests

  • AI for Science
    • Large Language Models
    • Agentic Systems
    • Data/Figure Automation
  • Computational Biology
    • Spatial Transcriptomics
    • Biomedical Imaging
    • Production-grade Tooling

Professional Experience

  • 2022 - Present
    Research Assistant
    Massachusetts Institute of Technology
    • Spatial transcriptomic and translatomic co-profiling of Schizophrenia: Employed single-cell resolved spatial transcriptomics (STARmap) combined with translatomics (RIBOmap) to generate an atlas of transcriptional and translational states in the Grin2a+/- mouse model of SCZ.
    • End-to-end analysis toolkit for spatial transcriptomics (Starfinder): Built a modularized E2E pipeline for image-based in-situ sequencing assays with Snakemake. 5X faster vs. legacy baseline. [Nature Protocols 2025]
    • Spatially resolved single-cell translatomics (RIBOmap): Designed DNA probe sets for a new spatial translatomics assay. Trained KNN classifiers for automated quality assessment and cell type annotation. [Science 2023]
  • 2019 - 2022
    Associate Computational Biologist
    Broad Institute of MIT and Harvard
    • Integrative in-situ mapping of mouse brain (STARmap PLUS): Developed an analysis pipeline for a spatial transcriptomics assay with multi-modalities. Employed a U-Net model to achieve SOTA cell segmentation.
    • Created a spatial atlas of the mouse CNS covering 1.09 million cells and 11,844 genes. [Nature Neuroscience 2023] [Nature 2023]

Skills

  • Programming Languages
    • Python, Matlab, R, Shell, HTML, JavaScript
  • Tools & Frameworks
    • ML/AI: PyTorch, smolagents, LlamaIndex, LangGraph, HuggingFace
    • Bioinformatics: Scanpy, Seurat, Sklearn, scikit-image, Fiji/ImageJ, CellProfiler
    • Visualization: Matplotlib, Vega-lite, Altair, plotly
    • Infrastructure: Snakemake, Nextflow, Git, Docker, SLURM