Bio

Hello! I'm a doctoral student in the Department of Statistics and Data Sciences at the University of Texas at Austin. My research focuses on agent-based models, spatiotemporal statistics, infectious disease dynamics, quantitative ecology, and biostatistics. My doctoral studies are funded by the NSF Graduate Research Fellow Program.

News

Education

University of Texas at Austin | Austin, TX, USA

Ph.D. in Statistics | August 2021 - (current)

University of Nevada, Las Vegas (UNLV) | Las Vegas, NV, USA

B.S. in Mathematics | August 2016 - May 2021

Publications

MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2022). "Bayesian Capture-Recapture Models that Facilitate Recursive Computing," arXiv, 2205.04453.

MR Schwob, P Shiue, R Venkat. (2021). "Novel Theorems and Algorithms Relating to the Collatz Conjecture," International Journal of Mathematics and Mathematical Sciences, 2021:5754439.

R Venkat, MR Schwob. (2021). "Novel Sequences of Palindromic Primes in Various Bases," International Journal of Advanced Research in Computer Science, 12:2.

M Hooten, C Wikle, MR Schwob. (2020). "Statistical implementations of agent‐based demographic models," International Statistical Review, 88:2.

MR Schwob, A Dempsey, F Zhan, J Zhan, A Mehmood. (2020). "Robust multimodal heartbeat detection using hybrid neural networks," IEEE Access, 8:82201-82214.

A Hart,..., MR Schwob,..., J Zhan. (2019). "Resolving intravoxel white matter structures in the human brain using regularized regression and clustering," Journal of Big Data, 6:1.

MR Schwob, J Zhan, A Dempsey. (2019). "Modeling cell communication with time-dependent signaling hypergraphs," IEEE/ACM Transactions on Compuational Biology and Bioinformatics, 18:3.

Experience

Colorado State University - Department of Statistics | Research Assistant | June 2020 - August 2020

UNLV Big Data Hub | Undergraduate Researcher | August 2017 - June 2020

Air Force Research Laboratory | Research Assistant | May 2019 - August 2019

Fun Stuff

Check out the audiobooks that I've listened to in my personal library.

Michael R. Schwob


Bio

Hello! I'm a doctoral student in the Department of Statistics and Data Sciences at the University of Texas at Austin. My research focuses on agent-based models, spatiotemporal statistics, infectious disease dynamics, quantitative ecology, and biostatistics. My doctoral studies are funded by the NSF Graduate Research Fellow Program.

News

Education

University of Texas at Austin | Austin, TX, USA

Ph.D. in Statistics | August 2021 - (current)

University of Nevada, Las Vegas (UNLV) | Las Vegas, NV, USA

B.S. in Mathematics | August 2016 - May 2021

Publications

MB Hooten, MR Schwob, DS Johnson, JS Ivan. (2022). "Bayesian Capture-Recapture Models that Facilitate Recursive Computing," arXiv, 2205.04453.

MR Schwob, P Shiue, R Venkat. (2021). "Novel Theorems and Algorithms Relating to the Collatz Conjecture," International Journal of Mathematics and Mathematical Sciences, 2021:5754439.

R Venkat, MR Schwob. (2021). "Novel Sequences of Palindromic Primes in Various Bases," International Journal of Advanced Research in Computer Science, 12:2.

M Hooten, C Wikle, MR Schwob. (2020). "Statistical implementations of agent‐based demographic models," International Statistical Review, 88:2.

MR Schwob, A Dempsey, F Zhan, J Zhan, A Mehmood. (2020). "Robust multimodal heartbeat detection using hybrid neural networks," IEEE Access, 8:82201-82214.

A Hart,..., MR Schwob,..., J Zhan. (2019). "Resolving intravoxel white matter structures in the human brain using regularized regression and clustering," Journal of Big Data, 6:1.

MR Schwob, J Zhan, A Dempsey. (2019). "Modeling cell communication with time-dependent signaling hypergraphs," IEEE/ACM Transactions on Compuational Biology and Bioinformatics, 18:3.

Experience

Colorado State University - Department of Statistics | Research Assistant | June 2020 - August 2020

UNLV Big Data Hub | Undergraduate Researcher | August 2017 - June 2020

Air Force Research Laboratory | Research Assistant | May 2019 - August 2019

Fun Stuff

Check out the audiobooks that I've listened to in my personal library.