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Jiamu Tang
  • Digital image project: 
  •     IP1: Manuscript Imaging
  •     IP2: Time of flight 1 – SAGI
  •     IP3: Time of flight 2 – Egyptian Head
  •    IP4: Time of flight 3 - AMIIBO (the most specified Time of Flight)  
  •     IP5: Photogrammetry – cemetery
  •     IP6: HOKU – manuscript analysis
  • CV – update Apr. 18 2025
  • GitHub: itsChanism
  • nothing here:
    https://itschanism.github.io
Here is my CV
JIAMU TANG
Chan

Jiamu Tang

Status: Undergraduate Student

University: University of Rochester

Major: Data Science

Minors: Philosophy & Computer Science

GPA: 3.94 / 4.00

Passionate about: HCI & BCI

ORDID:https://orcid.org/0009-0004-2315-5467

Education

  • Relevant Coursework: Data Structures and Algorithms, Deep Learning, AI, Statistical ML, NLP, Database Systems, HCI, Semantic Analysis, Philosophy of AI
  • Certification: Digital Product Management: Modern Fundamentals
  • Skills: Python, Java, R, SQL, HTML, CSS, JS, Figma, Unity, Arduino, Processing

Experience

  • BEAR Lab, University of Rochester (Jan 2025 – Present)
          Research Assistant – Developed four interactive VR scenes using HTC Vive and Meta Quest across Unity versions; supported user studies and qualitative analysis; co-created CHI video and slides using Figma.    
  • HCI Lab, University of Rochester (May 2024 – June 2024)
          Volunteer – Built React-based front end for MTurk studies; designed and launched surveys to collect behavioral HCI data.    
  • UR Medical Center Lab (Sep 2023 – Present)
          Research Assistant – Analyzed Twitter attitudes toward e-cigarettes using NLP; fine-tuned RoBERTa (85%+ accuracy); applied LDA, Face++ for topic/gender/age analysis.    
  • MiraclePlus (May 2023 – Sep 2023)
          Investment Assistant – Identified AI startups; built Python scraper for founder/contact info; automated outreach with smtplib.    
  • Alibaba Local Business Analysis Project (Jun 2023 – Sep 2023)
          Project Manager – Used SQL, Pandas, and LSTM to diagnose GMV drops; delivered strategy plans with visual insights.    

Publication

Projects

  • SICSS 2023 Summer Research – Analyzed Gen Z suicide-related hashtags on Twitter using Python, NLP (NLTK, Gensim), and Scikit-learn.
    GitHub
  • Sales Forecasting with LSTM (with Prof. Alex Iosevich) – Built LSTM model using Keras to predict sales trends; evaluated via RMSE.
    GitHub

Contact