Trenton Chang

Stanford University Class of 2021, Computer Science (Master’s)

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Trenton Chang (he/him) is a Master's student in computer science at Stanford. His research interests are in low-data machine learning settings and robustness in machine learning models. Trenton has executed machine learning projects in model robustness, natural language processing, computer vision, and signal processing. He also enjoys teaching, and has taught and mentored high school students in artificial intelligence and the ethics of technology. After graduation, Trenton hopes to pursue a PhD in computer science. On campus, Trenton is active in the musical theatre community, serving on Ram's Head Theatrical Society's Board of Directors 2020-21 and appearing regularly as a rehearsal/show pianist. Trenton also speaks English and Chinese natively and has studied Spanish and Japanese.

Accomplishments on the ASPT:

  • Researched companies and individuals for BrainMind's ecosystem database

  • Wrote whitepaper on neuroethics for BrainMind

  • Created mail merge script for BrainMind marketing purposes

  • Contributed to BrainMind web development

  • Volunteer at BrainMind summit Fall 2018

  • Executed market research on bone marrow supply chain for RegenMed Systems

  • Led market research team in the Heartflow pipeline

  • Served in Admissions in Global Leadership Incubator

Accomplishments since the ASPT:

  • Beyond the Pixels: The Effect of Video File Corruption on Model Robustness (2020, submitted to ECCV)

  • Fill-in-the-Blank: A Masked Language Model-Based Social Game (2020)

  • EEG Seizure Detection with Convnets (2019)

  • A Transfer-Learning Approach for Few-Shot Vid2Vid (2019)

  • ASSU Mental Health and Wellness Co-Director 2018-19

Skills:

  • Attention to Detail

  • Communication

  • C++, SQL Server, Java, CSS

  • Data Collection & Analysis

  • Leadership

  • Market Researching & Reporting

  • MS Word, Excel, Powerpoint, Google Suite

  • Music/Video Production

  • Problem Solving

  • Product Management

  • Artificial Intelligence

  • Advanced Maths

  • Machine Learning

Sectors of Interest:

  • Biotech startups

  • Brain-computer interface companies

  • Healthcare and Public Health

  • Neuroethics

  • Policy

  • Science media

  • Biocomputational startups

Current Location:

Logan, Utah