Networking Event
CalendarDate & Time
  • September 29th, 2026
LocationLocation
  • San Francisco, California
Register

Join Schrödinger to learn how our computational platform accelerates biologics discovery, optimization, and formulation.

Connect with local computational biologists, protein engineers, and translational scientists to exchange ideas on how computational modeling with real-time project data can shorten design cycles, mitigate downstream risks, and foster seamless collaboration across teams.

What we will discuss:

BioLuminate: Learn how it delivers actionable insights across traditional modalities (antibodies, peptides, biocatalysts) for early liability detection, stability, affinity, and formulation. Plus, get a sneak peek at its growing capabilities for complex non-traditional modalities like ADCs and oligonucleotides.

LiveDesign for Biologics: See how this single, shared workspace connects sequence, structure, assay data, and computed properties so your team can design, iterate, and decide faster.

Bunsen: Get a quick look at our new agentic AI tool, designed to lower the barrier to entry and accelerate design cycles by making advanced computational modeling more accessible.

Networking & Happy Hour:

Stay after the presentations to connect with local industry peers, share insights, and chat with the Schrödinger team over drinks and appetizers.

Location:

Foundry & Lux, 151 Oyster Point Blvd, South San Francisco, CA 94080

Register
icon time 3:30 PM – 4:00 PM
Welcome & Registration

Location:
Foundry and Lux, 151 Oyster Point Blvd, South San Francisco, CA 94080

icon time 4:00 PM – 5:00 PM
Biologics Workflow Presentation

Speakers:
Eliud Oloo, Global Portfolio Leader, Biologics Modeling, Schrödinger

Jason Castaneda, Executive Director, Global Portfolio Leader, Schrödinger

Sunidhi Lenka, Senior Scientist II, Applications Science, Schrödinger

icon time 5:00 PM – 7:30 PM
Networking Reception

Our Speakers

Eliud Oloo

Global Portfolio Leader, Biologics Modeling, Schrödinger

As Global Portfolio Leader for Biologics at Schrödinger, Eliud is dedicated to translating the power of digital molecular design into tangible, real-world impact. His background spans bench research, molecular modeling, frontline customer support and software product management. After obtaining a PhD in Biomolecular Simulation from the University of Calgary, Canada, Eliud worked as a Research Scientist at Sanofi, where he led structure-based computational modeling and initiated the use of machine learning approaches in vaccine design.

Jason Castaneda

Executive Director, Global Portfolio Leader, Schrödinger

Jason is a Global Portfolio Leader at Schrödinger with nearly two decades of experience driving the adoption of complex scientific software platforms within major pharmaceutical and biotech firms, specializing in computational modeling and informatics platforms for drug discovery. With a background in chemical engineering, he built his career bridging scientific impact with enterprise software to transform the way companies discover new therapeutics. He now leads the global growth strategy for the portfolio of LiveDesign-based applications, the preferred platform for designing novel molecular matter in many of the world’s largest discovery organizations.

Sunidhi Lenka

Senior Scientist II, Applications Science, Schrödinger

Sunidhi Lenka is a Senior Scientist II in the Application Science team at Schrödinger. Joined in 2023, her primary focus is supporting customers in deploying the Schrödinger drug discovery suite within their workflows, alongside driving her own research and building strategic collaborations to advance work in both biologics and small molecules. Sunidhi earned her Ph.D. in Computational Chemistry from the University of Florida under Prof. Adrian Roitberg, specializing in QM/MM and enhanced sampling MD techniques for medicinal chemistry and enzyme engineering. She subsequently completed a postdoctoral fellowship at Genentech in Dr. Izadi’s lab, developing in silico tools to address high concentration viscosity challenges and chemical degradation risks (such as tryptophan oxidation and CQAs) in biologics.