About Me

Welcome! I am an assistant computational statistician at Argonne National Laboratory, where I work on developing and applying statistical and machine learning methods to solve complex scientific problems.

My research focuses on uncertainty quantification, calibration of computer models, and developing scalable computational methods for large-scale scientific applications. I received my Ph.D. in Statistics from Virginia Tech and have been at Argonne since 2019.

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Recent Publications

MetaRVM WSC 2025 paper
Developing and Deploying a Use-Inspired Metapopulation Modeling Framework for Detailed Tracking of Stratified Health Outcomes

Authors: Fadikar, A., Stevens, A., Rimer, S., Martinez-Moyano, I., Collier, N., et al.

Proceedings of the 2025 Winter Simulation Conference (WSC), 2025

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Adaptive Grid-Based Thompson Sampling paper
Adaptive Grid-Based Thompson Sampling for Efficient Trajectory Discovery

Authors: Fadikar, A., Stevens, A., Binois, M., Collier, N., Ozik, J.

arXiv preprint, 2025

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SACOMA bioRxiv preprint
A spatially-aware unsupervised pipeline to identify co-methylation regions in DNA methylation data

Authors: Meshram, S., Fadikar, A., Arunkumar, G., Chatterjee, S.

bioRxiv preprint, 2025

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OSPREY paper
Automation and Collaboration in Complex Epidemiological Workflows with OSPREY

Authors: Ozik, J., Collier, N., Fadikar, A., Wozniak, J., Hayot-Sasson, V., et al.

Workshop Proceedings of the 54th International Conference on Parallel Processing, 2025

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Recent and Upcoming Talks

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Beyond Research

Coffee

Trying my hands on espresso and latte art.

Running

My daily driver, I call it Groot.

Snowboarding

It's the time of the year when I strap my feet to a piece of board.

Hiking in the Blue Ridge Mountains

Hiking in the Blue Ridge Mountains whenever I can get to the trails.