About me

I am a second-year PhD student in the Department of Statistics & Data Science at Carnegie Mellon University. I received my BSc in Statistics and Economics from the Department of Statistics at 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, computational statistics, visualizations, and image processing.

Current groups

WinS
DELPHI, Epidemiological Forecasting CMU, Women in Statistics

Previous projects and groups

2018 Worked as a motion planning intern for Argo AI, developing features for self-driving cars.
2015–2017 Researched at Laber Labs under the direction of 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 in the Department of Computer Science and Epidemiology & Biostatistics at the University of Western Ontario [1].
2016 Interned at Duke-National University of Singapore Medical School supervised by Bibhas Chakraborty working on estimating shared-parameter Dynamic Treatment Regimes.
2014–2017 Prototyped anomaly detection methods for high-frequency machine generated data at SAS Institute [2, 3].
laber labs
NC State, Laber Labs Argo AI SAS Institute

© 2018 Maria Jahja