About
My physics research primarily revolves around computational physics, specifically simulating particle collisions. As members of the MLhad collaboration, we focus on the process of hadronizatoin, where quarks—the elementary building blocks—combine to form particles. Despite its fundamental nature, this process remains a physical black box, with no theoretical framework for its description, making it necessary to utilize machine learning (ML), particularly generative models.
Beyond my work in ML for Science, I have cultivated a deep fascination for ML research, leading me to serve as an Independent AI researcher on a diverse array of projects in generative art and LLM, resulting in publications. Over the past few years, I have become increasingly excited about LLM, AI reasoning, safe and scalable deep learning.
I am consistently enthusiastic about tackling new and meaningful projects, and I actively embrace the opportunity to expand my knowledge and skills.
- Deep Learning for Science
- Deep Learning Reasoning
- Interdisciplinary Research
Ph.D. in Physics, 2020 - Present
University of Cincinnati
BSc in Physics, 2019
Ruhr University Bochum
Experience
Responsibilities include (listed tasks resulted in publication(s) and talks at conferences):
- Developed ML-based particle collision simulations using Generative Models (VAE, Normalizing Flows), Bayesian NN, and Sequence models adopted by 10k+ particle physics researcher worldwide
- Utilized LLM (OPT, GPT3, T5) for unsupervised text style transfer, resulting in a novel text style transfer method
- Prompt engineered NLP models for seamless integration and deployment in summarization tasks
- Innovated a pivotal test statistic, enhancing data analysis and interpretation for collider experiments at LHC-CERN, impacting over 100k datasets and billions of events
Responsibilities include:
- Collaborated in an AI research team at EEML summer school, facilitated by DeepMind
- Designed a GAN-based art generator using CLIP model and text prompts, resulting in a publication at the NeurIPS ML for Creativity and Design workshop
Responsibilities include:
- Build an identification and authentication system to mitigate fraud in art and production lines, elevating security standards
- Led market research and cross-functional team collaboration, accelerating product development and securing $2,500 in the New Venture Championship through strategic pitching
Accomplishments
Publications - ML for Physics
Publications - ML
Publications - Physics
Selected Talks & Presentations
Gallery
Impressions of some locations I have visited to give talks including Pittsburgh, US; Boston, US; Krakow, Poland; Prague, Czech Republic; Hamburg, Germany; Heidelberg, Germany; Ljubljana, Slovenia; Venice, Italy; Thessaloniki, Greece; Santiago de Compostela, Spain; and New Orleans, US
Boxing
I love spending time at the boxing gym. I am an active member of the UC boxing team and have competed in both regional and national collegiate boxing competitions. I have currently taken some time off from competing to focus more on my research, but I plan to compete again in the future.
