Ph.D.

Salesforce (Formerly with Lehigh University)

Biography

Yutong Dai works as the Senior Applied Scientist in Salesforce. He earned his Ph.D. degree from the Department of Industrial and Systems Engineering at Lehigh University, under the supervision of Professor Daniel P. Robinson. He also works closely with Professor Lichao Sun.

His research interests include

  • building and evaluating computer/browser use agents
  • training (multimodal) large language models
  • designing, analyzing and implementing algorithms for large scale non-convex non-smooth optimization problems arisen in machine learning and federated learning, and
  • making machine learning and deep learning algorithms secure, private, and robust.

Interests

  • Computer Use Agents
  • Multimodal Large Language Model
  • Nonsmooth Optimization with Structured Sparsity
  • Federated Learning

Education

  • Ph.D. in Industrial & Systems Engineering, December, 2023

    Lehigh University

  • M.S. in Statistics, May, 2019

    University of Illinois at Urbana-Champaign

  • B.S. in Statistics (with honors), June, 2017

    Sichuan University

Experience

 
 
 
 
 

Senior Applied Scientist

Salesforce

Aug 2025 – Present Palo Alto, CA
 
 
 
 
 

Applied Scientist

Salesforce

Jan 2024 – Jul 2025 Palo Alto, CA
 
 
 
 
 

Engineer Intern

Adobe

May 2023 – Aug 2023 San Jose, CA
 
 
 
 
 

Research Intern

Salesforce

May 2022 – Aug 2022 Palo Alto, CA
 
 
 
 
 

Data Scientist Intern

Bud Analytic Lab of Anheuser-Busch InBev

Jan 2018 – May 2019 Urbana, IL

Selected Publications

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SCUBA: Salesforce Computer Use Benchmark (arixv, 2025)
CoAct-1: Computer-using Agents with Coding as Actions (arixv, 2025)
GTA1: GUI Test-time Scaling Agent (arixv, 2025)

Services

  1. Reviewer:
  • Conferences: KDD(2), AISTATS(2)
  • Journals: Journal of Scientific Computing (6), Optimization Letters (3), Mathematical Programming Series A (2)
  1. Conference Sessions Organizer:
  1. Teaching:

Contact

  • 200 West Packer Avenue, Bethlehem, PA 18015