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.
|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 .|
|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].|
|NC State, Laber Labs||Argo AI||SAS Institute|
© 2018 Maria Jahja