Academic Research
My research focuses on computational modeling of Alzheimer’s Disease. My advisor is Dr. Bin Zhang at Mount Sinai’s Multiscale Network Modeling Laboratory.
I’m interested in exploring the polygenic risks associated with developing Late Stage Alzheimer’s Disease (LSAD) as well as the relationship between genes and their protein expressions in an effort to better understand if or when people will develop LSAD and how we can better prevent and treat it.
I use a variety of machine learning and statistical techniques, such as Gene Set Enrichment Analysis (GSEA), RF, SVM, and Maximal Information-Based Nonparametric Exploration (MINE) to model these polygenic risks and to explore the association between genomics and proteomics.
Publications/Patents
Belloff, Helena, et al. “A ‘Shiny’ New Perspective: Unveiling Next-Generation Patient Profiles for Medical and Safety Monitoring.” PharmaSUG US Conference, TrialSpark, Inc. d/b/a Formation Bio, Apr. 2024, https://www.lexjansen.com/pharmasug/2024/DV/PharmaSUG-2024-DV-382.pdf.
2024
Belloff, H., & Klincewicz, S. Next-Generation Patient Profiles for Medical and Safety Monitoring. U.S. Provisional Patent Application, pending. An interactive web application that automates and streamlines patient safety, medical monitoring, and reporting during clinical trials.
2024
Belloff, H., Neff, R., Wang, M., & Zhang, B. (2021, March 8). Integrative Analysis of Large-scale Transcriptomic and Proteomic Data in Alzheimer’s Disease [Unpublished thesis, presented at thesis defense]. The Multiscale Network Modeling Lab, The Icahn School of Medicine at Mount Sinai.
2021