Ph.D. Student at the Silverman Lab in the College of Information Sciences and Technology at Pennsylvania State University, advised by Dr. Justin Silverman. My research focuses on developing fast and interpretable Bayesian time series models for microbial and financial data. Additionally, I am exploring conditional generative models, their applications in conformal prediction, and their statistical properties.
Previously, I was a Software Engineer at Tummee.com, focusing on end-to-end software development and user experience optimization. Before that, I worked as a Machine Learning Engineer at Trinity College Dublin under Dr. Ciaran Simms, Dr. Aljosa Smolic and Dr. Richard Blythman, where I developed deep learning models and automated pipelines for predictive analytics and sports injury prevention.
I hold a master’s degree in Informatics (Data Science) from Pennsylvania State University and a bachelor’s degree in Software Engineering from Delhi Technological University (formerly Delhi College of Engineering) in India.
My CV can be found here.
Talks
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Model (Oct 2024)
Bioinformatics Method Developers Community Day, Center for Computational Biology and Bioinformatics, Pennsylvania State University
Teaching
- Applied Data Sciences (DS340W)
- Legal and Regulatory Environment of Information Science and Technology (IST432)
Publications and Preprints
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
Manan Saxena, Tinghua Chen, Justin D Silverman
Accepted in 28th International conference on artificial intelligence and statistics (AISTATS 2025).
[ArXiv, Fenrir code, Paper Code]
Assessment of deep learning pose estimates for sports collision tracking
Richard Blythman, Manan Saxena, Gregory J Tierney, Chris Richter, Aljosa Smolic, Ciaran Simms
Journal of sports sciences (2022)
[Paper]
Classifying Medical Histology Images Using Computationally Efficient CNNs Through Distilling Knowledge
Aakash Garg*, Karan Aggarwal*, Manan Saxena*, Aruna Bhat
Proceedings of International conference on emerging technologies in data mining and information security, Springer (IEMIS 2020)
[Paper]
Skeleton-based view invariant deep features for human activity recognition
Chhavi Dhiman, Manan Saxena, Dinesh Kumar Vishwakarma
Proceedings of IEEE 5th international conference on multimedia big data (IEEE BigMM 2019)
[Paper]