Lunjia Hu
Scholar

Lunjia Hu

Google Scholar ID: ss7CIgcAAAAJ
Assistant Professor at Northeastern University
Theory of ComputingMachine LearningUncertainty QuantificationCalibrationAlgorithms
Citations & Impact
All-time
Citations
603
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
48
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Has worked with rising junior researchers including Charlotte Peale, Judy Hanwen Shen, Yifan Wu, Chutong Yang.
Research Experience
  • Was a Postdoctoral Fellow at Harvard University’s Center for Research on Computation and Society (CRCS), working with Cynthia Dwork, Salil Vadhan, Han Shao, and others; interned at Apple for two summers (2021 and 2022), collaborating with Vitaly Feldman, Kunal Talwar, Parikshit Gopalan, and Preetum Nakkiran.
Education
  • Received a Ph.D. in Computer Science from Stanford University, co-advised by Moses Charikar and Omer Reingold; completed undergraduate studies in the Yao Class at Tsinghua University, receiving a B.Eng. in Computer Science and a B.S. in Mathematics.
Background
  • Research interests include: uncertainty quantification and calibration, algorithmic fair prediction and decision making, learning theory (e.g., sample complexity characterizations), approximation and online algorithms, robust and interpretable machine learning. He is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University and a member of the Northeastern Theory Group.
Miscellany
  • Looking for students to join the Northeastern CS PhD program; teaching a theory topics course in Fall 2025: From Convex Analysis to Learning, Prediction, and Elicitation (CS 7880).