Arvind Ramanathan
Scholar

Arvind Ramanathan

Google Scholar ID: 2yljOIYAAAAJ
Argonne National Laboratory
Machine LearningComputational BiologyMolecular biophysicsenzyme catalysishigher-order statistics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
3,554
 
H-index
33
 
i10-index
74
 
Publications
20
 
Co-authors
0
 
Contact
GitHubOpen ↗
Publications
14 items
AEGIS: Assay-Aware Protocol Validation and Runtime Monitoring for Open-Source Liquid Handling Robots
2026
Cited
0
BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
2026
Cited
0
PRISM: Protocol Refinement through Intelligent Simulation Modeling
arXiv.org · 2026
Cited
0
Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
2025
Cited
0
Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
2025
Cited
0
Foundation Models for Discovery and Exploration in Chemical Space
2025
Cited
0
Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models
2025
Cited
0
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights
2025
Cited
0
Resume
Research Experience
  • Leads the AR Lab at Argonne National Laboratory, researching AI-driven experimental design and lab automation
  • Works on a U.S. Department of Energy (DOE) Biological and Environmental Research (BER) program project integrating AI into biological experimentation
  • Collaborates with Dr. Carla Mann on CRISPR-Cas9 probes targeting specific E. coli functions
  • Partners with industry and academic institutions on protein design applications
  • Contributed to AI-driven simulations of SARS-CoV-2 Spike protein interactions with human ACE2 receptor