Scholar
Evan Dramko
Google Scholar ID: iKjv4W4AAAAJ
PhD student, Rice University
Citations & Impact
Citations
5
H-index
1
i10-index
0
Publications
2
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- Has written explanatory articles covering the mathematics of machine learning in detail, including topics such as Transformers, an introduction to RL from human feedback, a deep dive into attention computations, and other subjects like Einstein summation (einsum) in numpy and pyTorch.
Research Experience
- Concentrates on developing NN architectures tailored to specific application domains, particularly in the field of ML for physical sciences which involves cross-departmental collaboration, building NN pipelines from scratch, and data curation. Also delves into the underlying mathematics of these applications.
Education
- Graduate student at Rice University, advised by Dr. Anastasios Kyrillidis and working closely with Dr. Christopher Jermaine, Dr. Geoffrey Hautier, Dr. Thomas Reps of UW-Madison, Dr. George Phillips, and Dr. Mitchell Miller.
Background
- Third year graduate student at Rice University, focusing on the development of novel Neural Network (NN) architectures, applying NNs to the physical sciences: specifically atomistic structural calculations in nanoengineering and biochemistry, Reinforcement Learning (RL) based model tuning and RL from Human Feedback (RLHF).
Miscellany
- Based in Houston, TX; provides a link to download an up-to-date resume that includes internships, awards, etc.; website powered by Jekyll & AcademicPages.
