Abba Leffler

Abba Leffler

Principal Scientist

Schrödinger

Bronx, New York

About Abba Leffler


Abba E. Leffler, Ph.D., is a Principal Scientist in the Drug Discovery group at Schrödinger, a company based in New York City that specializes in molecular modeling and computational chemistry. His work focuses on the design and optimization of small-molecule drugs using computer-based methods.

Leffler earned his undergraduate degree from Princeton University, where he studied chemistry and also completed a certificate in applied mathematics. After graduating, he joined D. E. Shaw Research, where he worked on high-performance simulations of molecular systems. He later earned his Ph.D. in Neuroscience from the NYU School of Medicine, where he studied how the brain processes information at the molecular level.

At Schrödinger, Leffler works on early-stage drug discovery. He uses physics-based simulations and experimental data to help predict how molecules interact with biological targets. His research includes work on ion channels, allosteric sites, and cryptic binding pockets. He has contributed to the development of tools that help scientists explore chemical space and design new compounds.

Leffler has published research in journals such as Science, PNAS, The Journal of Neuroscience, and PLOS Computational Biology. His most cited work includes studies on voltage-gated potassium channels and peptide ligands for nicotinic receptors. He is also listed as an inventor on several patents related to therapeutic compounds.

His work brings together chemistry, biology, and computational methods to support drug development efforts. He continues to contribute to both scientific research and practical applications in drug discovery.

Areas of Focus


Computational drug discoveryMolecular modeling & simulationIon channel researchSmall-molecule drug designNeuroscience

Career Background


Schrödinger

Principal Scientist, Drug Discovery

New York, New York

2016 – Present

D. E. Shaw Research

Research Staff

New York, New York

Education


NYU School of Medicine

Ph.D., Neuroscience

New York, New York

Princeton University

Ph.D., Neuroscience

New York, New York

Media


Press


Water matters: Enhancing early drug discovery with insights from water energetics - Schrödinger

In this webinar, we discuss the impact of two technologies that leverage explicit water energetics in the binding pocket to enhance drug design—WaterMap and Glide WS.

Read the full article ›

Water Thermodynamics of Peptide Toxin Binding Sites on Ion Channels - PubMed

Peptide toxins isolated from venomous creatures, long prized as research tools due to their innate potency for ion channels, are emerging as drugs as well. However, it remains challenging to understand why peptide toxins bind with high potency to ion channels, to identify residues that are key for a …

Read the full article ›

Frequently Asked Questions


What does Abba Leffler do?

Abba Leffler is a Principal Scientist in the Drug Discovery group at Schrödinger, a New York City company specializing in molecular modeling and computational chemistry. His work focuses on designing and optimizing small-molecule drugs using computer-based, physics-based simulation methods.

What is Abba Leffler known for?

Leffler is known for his research on ion channels, allosteric sites, and cryptic binding pockets, including studies on voltage-gated potassium channels and peptide ligands for nicotinic receptors. He has published in journals such as Science, PNAS, The Journal of Neuroscience, and PLOS Computational Biology, and is listed as an inventor on several patents related to therapeutic compounds.

Where is Abba Leffler based?

Abba Leffler is based in the Bronx, New York.

Where did Abba Leffler study?

Leffler earned his undergraduate degree in chemistry, with a certificate in applied mathematics, from Princeton University, and later earned his Ph.D. in Neuroscience from NYU School of Medicine.

Who does Abba Leffler work for?

Abba Leffler works for Schrödinger, a company based in New York City that specializes in molecular modeling and computational chemistry.

Last updated February 20, 2026