Organoids and Biocomputing: Exploring New Frontiers through High-Content Electrophysiology


Scientific Talks, Community Exchange, and Networking
Join us in Stanford for an evening exploring how high-content electrophysiology is advancing new frontiers in organoid research and biocomputing. Through short scientific talks and networking, the event will bring together researchers and innovators for discussion, exchange, and connections across the field.
Come for the science, stay for drinks and bites.
More information coming soon...!
Secure your spot by registering using the form below.



Dhriti is a Postdoctoral Research Scientist in the Department of Pediatrics at Stanford University, working in the laboratory of Dr. Anca M. Pașca. Her research harnesses iPSC-derived brain organoids and assembloids to model neonatal brain injury, rare neurological conditions, and 22q11.2 deletion syndrome, with a focus on mitochondrial dysfunction, interneuron vulnerability, and therapeutic rescue strategies.
Longitudinal High-Density Electrophysiological Profiling of Human Cortical Organoids Reveals Dynamic Network Remodeling Across Hypoxia-Reoxygenation Injury



Spencer Seiler, PhD is Co-Founder and CEO of Open Culture Science, where he leads development of Habitat, a microfluidic lab-in-a-loop platform for automated organoid experimentation. He holds a PhD in Biomolecular Engineering from UC Santa Cruz and brings prior engineering experience from Berkeley Lights, Ultima Genomics, and Miroculus, with published work across nanotechnology and automated microfluidics.

Kateryna Voitiuk, PhD is Co-Founder and CTO of Open Culture Science, where she leads R&D for Habitat hardware, consumables, and Cloud integration. A founding researcher of the Braingeneers with a PhD from UC Santa Cruz, she is a lead author on the IoT cloud laboratory, Piphys electrophysiology, and Nature Neuroscience closed-loop optogenetics work that underpins remote, feedback-driven organoid experimentation.

Tjitse van der Molen, PhD is Head of Intelligence at Open Culture Science and first author of SpikeLab, an agentic framework that gives LLMs the bounded autonomy needed to analyze neural spike data correctly. He led the data analysis for one of the earliest HD-MEA recordings of human brain organoids and is lead author on a recent Nature Neuroscience study comparing circuit activity across in vitro models.
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