Daniel faissol

Staff Scientist, Lawrence Livermore National Labs

Joined

May 2021

Names

Daniel faissol (Preferred)

Emails

****@llnl.gov (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

ORCID

Career & Education History

Staff Scientist

Lawrence Livermore National Labs (llnl.gov)

2008 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Structurally-aware Genetic Algorithm for Vaccine Development
Supaporn Klabklaydee, Simone Conti, Daniel faissol, Felipe Leno da Silva
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Not all representations are equal: Comparing protein language models for antibody thermostability prediction
Rudrasis Chakraborty, Jacob Pettit, Mary S Silva, Emily Alipio Lyon, Anastassya Davis, Emilia Solomon, Joseph Sanchez, Colin Singer Kruse, Corey Quackenbush, Yuliya Kunde, Antonietta M. Lillo, Tavish Malcolm McDonald, T.S. Jayram, Barry Y. Chen, Daniel faissol, Ana Paula De Oliveira Sales
- NeurIPS 2025 2nd Workshop FM4LS Poster
- Readers: Everyone
Antibody Library Design by Seeding Linear Programming with Inverse Folding and Protein Language Models
Conor F. Hayes, Andre R Goncalves, Steven Alan Magana-Zook, Ahmet Can Solak, Daniel faissol, Mikel Landajuela
- AIDrugX Poster
- Readers: Everyone
Computational Antigen Optimization through Symbolic Optimization and Affinity Maturation Simulation
Jonathan G. Faris, Mikel Landajuela, Kayla G. Sprenger, Daniel faissol, Felipe Leno da Silva
- AIDrugX Spotlight
- Readers: Everyone
Generative Design of Decision Tree Policies for Reinforcement Learning
Jacob Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel faissol, Brenden K. Petersen, Mikel Landajuela
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Pareto Front Training For Multi-Objective Symbolic Optimization
Jonathan G. Faris, Conor F. Hayes, Andre R Goncalves, Kayla G. Sprenger, Daniel faissol, Brenden K. Petersen, Mikel Landajuela, Felipe Leno da Silva
- ALA 2024
- Readers: Everyone
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
Jacob Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel faissol, Brenden K. Petersen, Mikel Landajuela
- Submitted to ICLR 2024
- Readers: Everyone
Multi-fidelity Deep Symbolic Optimization
Felipe Leno da Silva, Jiachen Yang, Mikel Landajuela, Andre R Goncalves, Alexander Ladd, Daniel faissol, Brenden K. Petersen
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang, Tarik Dzanic, Brenden K. Petersen, Jun Kudo, Ketan Mittal, Jean-Sylvain Camier, Vladimir Tomov, Tuo Zhao, Hongyuan Zha, Tzanio Kolev, Robert Anderson, Daniel faissol
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
Terrell N. Mundhenk, Mikel Landajuela, Ruben Glatt, Claudio P. Santiago, Daniel faissol, Brenden K. Petersen
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone

Co-Authors

View all 42 co-authors