Edouardo Honig

e [dot] honig [at] ucla.edu

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About


I recently received a Ph.D. in Statistics at UCLA, advised by Prof. Ying Nian Wu.

My principal research interests lie in generative models and representation learning. Earlier in my PhD I enjoyed working on learning energy-based models (EBMs). I spent a good chunk of time working more downstream on language modeling for biological sequences, including explainable artificial intelligence (XAI) works on gene expression prediction from DNA sequence. More recently, I have been delving (😉) deeper into language models for prompt compression and context extension. I am currently working on protein engineering and thinking more about reasoning.

I was a visiting graduate student researcher at the Cedars Sinai Zhang Lab of Artificial Intelligence in Medicine, advised by Prof. Zijun Zhang.

I interned at Cisco in Summer 2024, working on large-language models in the security domain.

I previously interned at intapp in Summer 2021 on the AI team.

I am also trying to share my thoughts online more frequently in my blog.

Feel free to reach out for any reason, especially to just say hi (email, social media, etc.). I have a great interest in people of all backgrounds and walks of life.

Last updated: 18 Jun 2025.

Teaching


Lead Instructor

STATS 20: Introduction to Statistical Programming with R

Teaching Assistant

STATS 20: Introduction to Statistical Programming with R

STATS 21: Python and Other Technologies for Data Science

STATS 140XP: Introduction to Statistical Consulting

STATS 421: Advanced Statistical Communication

Awards


Non-research projects


Simple Generative Models: reference code for various generative models.

woRdle: wordle entirely in R, using Rshiny.

Automated Symptom Survey: automatically complete the UCLA COVID-19 symptom survey.


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