Nicholas Kissel

About

Hi! I am a PhD student in the Department of Statistics & Data Science at Carnegie Mellon University. I am primarily interested in developing methods for generating model confidence sets. More broadly, I am interested in creating inferential procedures for machine learning modeling methods, as well as developing accessible statistical tools that are applicable to natural and social science research.

I’m currently working on my thesis, advised by Jing Lei. My thesis explores model confidence set procedures and builds upon my undergraduate work with Lucas Mentch. When I’m not working on my thesis, I’m collaborating with some faculty in Pitt’s Department of Psychiatry on sleep and depression research.

Papers & Presentations

Peer-reviewed

Meredith Wallace, Nicholas Kissel, Martica Hall, Anne Germain, Karen Matthews, Wendy Troxel, Peter Franzen, Daniel Buysse, Kathryn Roecklein, Heather Gunn, Brant Hasler, Tina Goldstein, Dana McMakin, Eva Szigethy, and Adriane Soehner. Age Trends in Actigraphy and Self-Report Sleep Across the Lifespan: Findings from the Pittsburgh Lifespan Sleep Databank. Psychosomatic Medicine. 2022 Jan 28.
Rebecca Price, Nicholas Kissel, et al. International Pooled Patient-Level Metanalysis of Ketamine Infusion for Depression: In Search of Clinical Moderators. Molecular Psychiatry. 2022 Sep 7.
Margarita Labkovich, Andrew J. Warburton, Stephanie Ying, Aly A. Valliani, Nicholas Kissel, Randal A. Serafini, Raj Mathew, Megan Paul, Malin Hovstadius, Vicente Navarro, Aashay Patel, Harsha Reddy, James G. Chelnis. Virtual Reality Hemifield Measurements for Corrective Surgery Eligibility in Ptosis Patients: A Pilot Clinical Trial. Translational Vision Science & Technology. 2022.
Meredith L. Wallace, Lisa McTeague, Jessica L. Graves, Nicholas Kissel, Cristina Tortora, Bradley Wheeler, and Satish Iyengar. Quantifying Distances between Non-elliptical Clusters to Enhance the Identification of Meaningful Emotional Reactivity Subtypes. Data Science in Science. 2022.

Conference

Kim Beals, Karen A. Keenan, Nicholas Kissel, Lucas Mentch, Wuxin Yang, Bradley C. Nindl, and Qi Mi. Prediction of lower extremity musculoskeletal injuries for naval special warfare operators: A machine learning approach. Medicine & Science in Sports & Exercise, 50(5S), 2018. ISSN 0195-9131.

Preprints

Forward Stability and Model Path Selection with Lucas Mentch. Accepted. Statistics and Computing.
Black-Box Model Confidence Sets Using Cross-Validation with High-Dimensional Gaussian Comparison with Jing Lei.

Miscellaneous

Proofs related to my work with Jing.