Hi there! Thanks for stopping by. I’m Alnur. I am was the Head of Machine Learning at Sisu Data – an a16z-backed analytics startup, which was (recently) acquired by Snowflake.
biosketch
Here is a quick biosketch.
-
I did my Ph.D. in Machine Learning at Carnegie Mellon University, where I worked with Ryan Tibshirani and Zico Kolter on problems in statistics, machine learning, and optimization, and applications to sustainable energy, education policy, and quantitative finance.
-
After Carnegie Mellon, I was a research scientist / post-doc at Stanford University in the Departments of Statistics and Electrical Engineering, where I worked on “responsible AI” / “AI safety” with John Duchi, Stephen Boyd, and Guenther Walther.
-
I spent a number of years at Microsoft Bing and Microsoft Research, where I led teams of research scientists and engineers working on machine learning, information retrieval, and natural language processing.
-
Most recently, I was the Head of Machine Learning at Sisu Data, where I managed teams of research scientists, engineers, product managers, and designers working on (i) large language models (“generative AI”); (ii) time series analysis; (iii) segmentation analysis; and (iv) causal inference applied to enterprise data. The models we built were based on my work on responsible AI / anomaly detection at Stanford. My team also helped build out our machine learning infrastructure (using Ray).
interests
I’m broadly interested in statistics, machine learning, and optimization. I’m also interested in lots of applications: to finance, operations research, public policy, social good, sustainability, epidemiology, healthcare, autonomous vehicles, analytics, …. A lot of my recent work has focused on building reliable and trustworthy machine learning systems, by looking at the issues that arise after a machine learning model has been deployed into a real-world system (click here for more info).