Area of research
Molecular Biology · Cancer Research
Research interest
es on the molecular evolution of DNA, RNA, and protein sequences with a special emphasis on neurodevelopment. His lab uses CRISPR, human cerebral cortex organoids, single cell RNA-seq and other technologies to functionally characterize neurodevelopmental genes that were specifically altered in human evolution and have disease associations. His current applied goal is to develop a new generation of Live Cell
The UCSC Genome Browser database: 2026 update.
Cloud-Connected Pluripotent Stem Cell Platform Enhances Scientific Identity in Underrepresented Students
CytoVerse: Single-Cell AI Foundation Models in the Browser
A Modular In-Incubator Microscope for Longitudinal Live Cell Microscopy
Microfluidic Control of Dorsal-Ventral Patterning Within a Single Forebrain Organoid
Self-Organizing Neural Networks in Organoids Reveal Principles of Forebrain Circuit Assembly
A feedback-driven brain organoid platform enables automated maintenance and high-resolution neural activity monitoring.
Incubator-Free Organoid Culture in a Sealed Recirculatory System
HIPPIE: A Multimodal Deep Learning Model for Electrophysiological Classification of Neurons
Consistently processed RNA sequencing data from 50 sources enriched for pediatric data.
Microscope Upcycling: Transforming legacy microscopes into automated cloud-integrated imaging systems
Thalamocortical organoids enable in vitro modeling of 22q11.2 microdeletion associated with neuropsychiatric disorders
Multimodal evaluation of network activity and optogenetic interventions in human hippocampal slices
Multimodal evaluation of network activity and optogenetic interventions in human hippocampal slices.
A nonoscillatory, millisecond-scale embedding of brain state provides insight into behavior.
RT-Sort: An action potential propagation-based algorithm for real time spike detection and sorting with millisecond latencies
Multiscale Cloud-Based Pipeline for Neuronal Electrophysiology Analysis and Visualization
A feedback-driven brain organoid platform enables automated maintenance and high-resolution neural activity monitoring
Pathological microcircuits and epileptiform events in patient hippocampal slices
A draft human pangenome reference.
Pangenome graph construction from genome alignments with Minigraph-Cactus
Recombination between heterologous human acrocentric chromosomes
Increased mutation and gene conversion within human segmental duplications
Internet-connected cortical organoids for project-based stem cell and neuroscience education
Open-loop lab-on-a-chip technology enables remote computer science training in Latinx life sciences students
Unraveling Neuronal Identities Using SIMS: A Deep Learning Label Transfer Tool for Single-Cell RNA Sequencing Analysis
20. Comparative analysis of RNA expression identifies druggable targets in difficult-to-treat pediatric solid tumors
The Human Pangenome Project: a global resource to map genomic diversity
The Human Pangenome Project: a global resource to map genomic diversity.
The Earth BioGenome Project 2020: Starting the clock
Planning Grant: Engineering Research Center for Convergent Genomics
Protein Classification Using Hidden Markov Models
Generalized Hidden Markov Models for Protein Sequence Analysis
Quantitative Analysis of Learning Algorithms
A New Data Structure for Text Processing and Pattern Recognition (Information Science)