Scholar
Aaditya Ramdas
Google Scholar ID: ZvFaPxUAAAAJ
Associate Professor (with tenure), Carnegie Mellon University
Citations & Impact
Citations
9,200
H-index
48
i10-index
130
Publications
20
Co-authors
86
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest U.S. government honor for early-career scientists
- Kavli Fellow of the National Academy of Sciences
- Sloan Research Fellowship in Mathematics
- NSF CAREER Award
- Emerging Leader Award from COPSS (Committee of Presidents of Statistical Societies)
- Early career awards from the Bernoulli Society and the Institute of Mathematical Statistics
- Faculty research awards from Adobe and Google
- Elected Fellow of the Institute of Mathematical Statistics (IMS)
- Statistician of the Year 2025 by the ASA Pittsburgh Chapter
- Program Chair of AISTATS 2026
- Published over 150 peer-reviewed papers: ~50% in top journals (e.g., The Annals of Statistics, Biometrika, IEEE Transactions on Information Theory, PNAS), including discussion papers in JRSSB and JASA; ~50% in top AI conferences (NeurIPS, ICML, ICLR, UAI, AISTATS), with over a dozen orals/spotlights
- Delivered keynote talks at Lunteren, AISTATS, VCMF; invited tutorials at CUSO, KDD, ICML
Background
- Associate Professor (with tenure) at Carnegie Mellon University, jointly appointed in the Department of Statistics and Data Science (75%) and the Machine Learning Department (25%)
- Research focuses on mathematical statistics and machine learning, emphasizing algorithms with strong theoretical guarantees that also work well in practice
- Main research interests include: post-selection inference (multiple testing, simultaneous inference), game-theoretic statistics (e-values, confidence sequences), and predictive uncertainty quantification (conformal prediction, calibration)
- Applied interests span privacy, neuroscience, genetics, and auditing (elections, real estate, finance, fairness)
- Co-organizes the StatML Group at CMU
Miscellany
- Passionate about backpacking through over 70 countries
- Practices trash-free living
- Completed an Ironman triathlon
- Enjoys long-distance bicycle rides
- Loves reading and parenthood
