About Me
I’m a Postdoctoral Research Fellow at Memorial Sloan Kettering Cancer Center. I received my Ph.D. in Statistics from Pennsylvania State University in 2024, where I was advised by Dr. Jia Li. I received my Masters in Statistical Practice from Carnegie Mellon University in 2016 and my B.S. in Business Administration (Finance) also from Carnegie Mellon University in 2013.
Talks and Lectures
- Epsilon Consistent Mixup: Adaptive Data Augmentation in the Semi-Supervised Setting (slides)
- Learning Performance Maximizing Ensembles with Explainability Guarantees (slides)
- Introduction to Deep Learning Lecture Series (lecture notes)
- Normalizing Flows Tutorial (lecture notes)
Publications
Assessment of Self Supervised Feature Properties in Multimodal Pathology Imaging
(in preparation)
Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff
(Stat) (arxiv) (code) (slides)
Learning Performance Maximizing Ensembles with Explainability Guarantees
(AAAI24) (arxiv) (code) (slides)
Unsupervised and Semi-Supervised Learning, Handbook of Computational Statistics in Data Science
(Wiley)
Semi-Supervised Cervical Dysplasia Classification with Learnable Graph Convolutional Kernel
(ISBI) (arxiv)
Model Agnostic Regularization via Data Augmentation and Explainable Ensembles
(PSU)