Addison Hu

cv: download pdf
github: repositories


I am a fifth-year PhD student pursuing a joint degree in the Departments of Statistics and Machine Learning at Carnegie Mellon University. I am lucky to be advised by Ryan Tibshirani.

Beginning Fall 2022, I am a visiting student researcher at the Department of Statistics at UC Berkeley.



I am grateful to be supported by an NSF GRFP award in Mathematical Statistics.


Epidemic tracking and forecasting

In March 2020, I joined the Carnegie Mellon University's Delphi group on an emergency basis to aid in Covid-19 tracking and forecasting. During that time, I helped develop and wrote core pipelines for real-time Covid-19 indicators, which were made available to the general public. We also used these indicators to produce Covid-19 forecasts.

Since Summer 2021, I have stepped back into a contributor role, occasionally assisting with projects. In Fall 2021 I helped produce influenza forecasts for the 2021-2022 flu season, which we submitted to CDC FluSight.


An implementation of Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence in NumPy and Spark.

Professional Experience

Data Scientist, Facebook Seattle | July 2017 - August 2018

I worked on Search Core Relevance, specifically an element of the Facebook search engine responsible for retrieving specific posts previously seen by a user.