Sai T. Reddy

Full Professor, D-BSSE, ETHZ - ETH Zurich

Joined

February 2024

Names

Sai T. Reddy (Preferred)

Emails

****@ethz.ch (Confirmed)

****@bsse.ethz.ch (Confirmed)

****@immune.engineering (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Full Professor

D-BSSE, ETHZ - ETH Zurich (ethz.ch)

2026 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

computational biology

protein design

molecular recognition

2010 – 2026

Publications

Revealing bias in antibody language models through systematic training data processing with OAS-explore
Wiona Sophie Glänzer, Sai T. Reddy, Alexander Yermanos
- NeurIPS 2025 2nd Workshop FM4LS Poster
- Readers: Everyone
Reframing Retreival-Augmented Generation for *in silico* optimization of antibody solubility
Lena Erlach, Rohit Singh, Bonnie Berger, Sai T. Reddy
- GEM
- Readers: Everyone
PLMFit: Benchmarking Transfer Learning with Protein Language Models for Protein Engineering
Thomas Bikias, Evangelos Stamkopoulos, Sai T. Reddy
- AIDrugX Poster
- Readers: Everyone
Modeling CAR Response at the Single-Cell Level Using Conditional OT
Alice Driessen, Jannis Born, Rocío Castellanos Rueda, Sai T. Reddy, Marianna Rapsomaniki
- AIDrugX Poster
- Readers: Everyone
Benchmarking probabilistic machine learning in protein ﬁtness landscape predictions
Ningning Chen, Wenkai Han, Sai T. Reddy
- ML4LMS Poster
- Readers: Everyone
Evaluating predictive patterns of antigen specific B cells by single cell transcriptome and antibody repertoire sequencing
Lena Erlach, Raphael Kuhn, Andreas Agrafiotis, Danielle Shlesinger, Alexander Yermanos, Sai T. Reddy
- MLGenX 2024 Poster
- Readers: Everyone
Evaluating predictive patterns of antigen specific B cells by single cell transcriptome and antibody repertoire sequencing
Lena Erlach, Raphael Kuhn, Andreas Agrafiotis, Danielle Shlesinger, Alexander Yermanos, Sai T. Reddy
- GEM Poster
- Readers: Everyone

Sai T. Reddy

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Revealing bias in antibody language models through systematic training data processing with OAS-explore

Reframing Retreival-Augmented Generation for in silico optimization of antibody solubility

PLMFit: Benchmarking Transfer Learning with Protein Language Models for Protein Engineering

Modeling CAR Response at the Single-Cell Level Using Conditional OT

Benchmarking probabilistic machine learning in protein ﬁtness landscape predictions

Evaluating predictive patterns of antigen specific B cells by single cell transcriptome and antibody repertoire sequencing

Evaluating predictive patterns of antigen specific B cells by single cell transcriptome and antibody repertoire sequencing

Co-Authors

Sai T. Reddy

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Revealing bias in antibody language models through systematic training data processing with OAS-explore

Reframing Retreival-Augmented Generation for *in silico* optimization of antibody solubility

PLMFit: Benchmarking Transfer Learning with Protein Language Models for Protein Engineering

Modeling CAR Response at the Single-Cell Level Using Conditional OT

Benchmarking probabilistic machine learning in protein ﬁtness landscape predictions

Evaluating predictive patterns of antigen specific B cells by single cell transcriptome and antibody repertoire sequencing

Evaluating predictive patterns of antigen specific B cells by single cell transcriptome and antibody repertoire sequencing

Co-Authors

Reframing Retreival-Augmented Generation for in silico optimization of antibody solubility