Scholar
Alnur Ali
Google Scholar ID: v5TPCXFtkUgC
Stanford University
Citations & Impact
Citations
862
H-index
13
i10-index
13
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- At Sisu Data, built models based on his work on responsible AI/anomaly detection at Stanford and helped build out the machine learning infrastructure using Ray. Specific publications, awards, and patents not detailed.
Research Experience
- Post-doc/research scientist at Stanford University, working on “responsible AI”/“AI safety” with John Duchi, Stephen Boyd, and Guenther Walther. Worked at Microsoft Bing and Microsoft Research, leading teams of research scientists and engineers on machine learning, information retrieval, and natural language processing. Most recently, Head of Machine Learning at Sisu Data, managing teams working on large language models, time series analysis, segmentation analysis, and causal inference applied to enterprise data.
Education
- Ph.D. in Machine Learning from Carnegie Mellon University, where he worked with Ryan Tibshirani and Zico Kolter on problems in statistics, machine learning, and optimization, and their applications to sustainable energy, education policy, and quantitative finance.
Background
- Broadly interested in statistics, machine learning, and optimization. Also interested in applications to finance, operations research, public policy, social good, sustainability, epidemiology, healthcare, autonomous vehicles, analytics, and more. Recent work has focused on building reliable and trustworthy machine learning systems, particularly addressing issues that arise after a model is deployed in the real world.
Miscellany
- Broad interests in various application areas such as finance, operations research, public policy, social good, sustainability, epidemiology, healthcare, and autonomous vehicles.
