About me

I am a third-year PhD student in the Department of Statistics & Data Science at Carnegie Mellon University. I completed my BS in Statistics and Economics from NC State University in 2017.

As part of CMU’s Delphi group, my current research project is nowcasting influenza via digital surveillance data. I am broadly interested in data-driven decision-making and computational statistics.


Current groups

Delphi, Epidemiological Forecasting Women in Statistics @ CMU

Previous projects and groups

2019 Returned to Argo AI, this time as a research intern exploring preference-based trajectory selection.
2018 Worked as a motion planning intern for Argo AI, developing machine learning features for self-driving cars.
2015–2017 Researched at Laber Labs under Eric Laber in the Department of Statistics, building educational games demonstrating reinforcement learning algorithms. You can read about it in AMSTAT or play some of the games.
2016 Worked on constructing prediction regions for multiple-objective Markov decision processes with Daniel Lizotte at University of Western Ontario [1].
2016 Interned at Duke-National University of Singapore Medical School supervised by Bibhas Chakraborty working on dynamic treatment regimes.
2014–2017 Prototyped anomaly detection methods for high-frequency data at SAS Institute [2, 3].
laber labs
NC State, Laber Labs Argo AI SAS Institute

© 2019 Maria Jahja