Jason Chang

Jason Chang Email and Phone Number

Graduate Student Researcher @ The Johns Hopkins University
Baltimore, MD, US
Jason Chang's Location
Baltimore, Maryland, United States, United States
Jason Chang's Contact Details

Jason Chang personal email

n/a
About Jason Chang

From genetic programming to bioinformatics, I see computer science and biology as two fields that perfectly complement each other, much like yin and yang. As a computational biologist, I work at the intersection of these disciplines, where the precision of computational algorithms meets the complexity of natural sciences.I’m currently pursuing a PhD at The Johns Hopkins University, focusing on using mechanistic computational models to explore innovative HIV treatments. During my PhD, I completed a Quantitative Systems Pharmacology internship at Genentech, where I developed a MATLAB-based toolbox that standardized and automated the QSP digital twin VPOP workflow, reducing programming requirements and directly contributing to more efficient Phase 1 study support.My past experiences have allowed me to build a strong foundation in modeling and simulation (e.g., QSP, PKPD, PopPK), machine learning, and bioinformatics. My goal is to leverage my skills in computational modeling and analysis to solve complex biological problems and advance scientific discoveries. I am excited to explore opportunities where I can apply my expertise and drive progress in cutting-edge research and development.

Jason Chang's Current Company Details
The Johns Hopkins University

The Johns Hopkins University

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Graduate Student Researcher
Baltimore, MD, US
Jason Chang Work Experience Details
  • The Johns Hopkins University
    Graduate Student Researcher
    The Johns Hopkins University
    Baltimore, Md, Us
  • The Johns Hopkins University
    Graduate Student Researcher
    The Johns Hopkins University Aug 2021 - Present
    Baltimore, Maryland, United States
    Using mechanistic-computational models to investigate whether and under what conditions CCR5∆32-HSCT is a viable HIV cure; which patients are likely to benefit; and whether adjuvant therapy could increase the fraction of patients likely to benefit.Mac Gabhann LabJohns Hopkins UniversityDepartment of Biomedical Engineering
  • Genentech
    Quantitative Systems Pharmacology Intern
    Genentech May 2024 - Aug 2024
    South San Francisco, California, United States
    • Developed a generalized MATLAB-based toolbox to standardize and automate the QSP digital twin VPOP workflow.• Successfully integrated the toolbox into two drug development programs, reducing programming requirements and accelerating support for Phase 1 clinical studies.
  • University Of California, Berkeley
    Research Assistant Ii
    University Of California, Berkeley Sep 2017 - May 2021
    San Francisco Bay Area
    Developed supervised machine learning model using synthetic spike-in standards and experimental conditions to correct bias in taxonomic assignment of eDNA metabarcoding data.Rasmus Nielsen LabUniversity of California, BerkeleyDepartment of Integrative Biology and Statistics
  • Minted
    Deep Learning Engineering Intern
    Minted Jan 2019 - May 2019
    San Francisco Bay Area
    Constructed DeconvNet-based regressor with ensemble of inputs from Canny edge detector, HOG, YOLO, and GrabCut algorithms to precisely extract individual artist designs from photo cards.
  • Numedii
    Machine Learning Engineering Intern
    Numedii May 2018 - Jul 2018
    Menlo Park, Ca
    Implemented mean shift-based clustering analysis on an Amazon EC2 cluster for high-dimensional cell morphology data queried from MongoDB databases, developing a high-throughput drug discovery pipeline.
  • Invivolink
    Data Engineering Intern
    Invivolink Dec 2017 - Jan 2018
    Greater Nashville Area, Tn
    • Supported MapReduce jobs and managed Microsoft SQL database environments.• Performed EDA on complex datasets in collaboration with HCA and HealthTrust, focusing on operational healthcare delivery.
  • Howard Hughes Medical Institute
    Research Assistant I
    Howard Hughes Medical Institute May 2017 - Sep 2017
    San Francisco Bay Area
    • Participated in a study deciphering the functional mechanisms of p53-cofactor JMY as an actin nucleation factor. • Developed algorithms using Brute-Force Matcher to track fluorescent signals under confocal microscopy.Dyche Mullins LabUniversity of California, San FranciscoDepartment of Cellular and Molecular Pharmacology
  • Keck Medicine Of Usc
    Molecular Microbiology And Immunology Intern
    Keck Medicine Of Usc Aug 2016 - May 2017
    Harlyne J. Norris Cancer Center Research Tower
    Participated in a study investigating functions of UVRAG, a tumor suppressor candidate that regulates cell autophagy and endocytosis, in T-cell acute lymphoblastic leukemia.Chengyu Liang Lab University of Southern CaliforniaDepartment of Molecular Microbiology and Immunology
  • National Cheng Kung University
    Molecular Microbiology And Immunology Intern
    National Cheng Kung University May 2016 - Jun 2016
    College Of Medicine
    Supported a research project decoding roles of innate immune regulators in response to RNA virus and Influenza A virus infections.Pin Ling Lab National Cheng Kung UniversityDepartment of Microbiology and Immunology

Jason Chang Education Details

Frequently Asked Questions about Jason Chang

What company does Jason Chang work for?

Jason Chang works for The Johns Hopkins University

What is Jason Chang's role at the current company?

Jason Chang's current role is Graduate Student Researcher.

What is Jason Chang's email address?

Jason Chang's email address is ja****@****usc.edu

What schools did Jason Chang attend?

Jason Chang attended The Johns Hopkins University, University Of California, Berkeley, Lund University.

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