Published Papers: M. Golovanevsky, E. Schiller, A. Nair, E. Han, R. Singh, and C. Eickhoff, One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical Data, Pacific Symposium on Biocomputing, 2024.

Pending Papers: A deep-learning based taxonomy of the aging DNA methylome reveals novel causal mediators of inflammatory diseases, Nature Aging, 2025

• Implemented experiments of novel multimodal transformer attention mechanism on Cancer Genome Atlas

• Trained deep learning multimodal model pathway from video input to music generation by chaining several foundation models through in-context learning on the university computing cluster

• Spring 2023 - CSCI1470 (Deep Learning)

• Spring 2025 - CSCI1951a (Data Science)

• Spearheaded creation of a testing suite for assignment on reimplementing TensorFlow’s Keras

• Held office hours and taught for a course of over 300 students

• Independently collected and cleaned revenue data then trained machine learning models over gathered data, identifying areas of optimization for a potential 40% growth in revenue

• Created a structured report and visual database for results to identify areas of improvement

• Followed Agile approach to release internal C# billing application end-to-end using MVC principles decreasing billing team costs by 75%

• Developed Figma mock and coded extensible frontend of future commercial Angular billing application

• Developed Python data pipeline for ingestion and transformation of 100,000+ invoice cases per month

• Coded Python program that determined trajectory of and visualized an asteroid’s orbital ellipse

• Published observations at Minor Planet Center to improve future predictions of asteroid position