Bioengineering · Neuroscience · Translational Research
I’m Veronica Porubsky, Ph.D.—a bioengineer and computational neuroscientist translating neural data into tools, models, and therapeutic strategies.
Postdoctoral Scholar
Yazdan Lab · University of Washington
Current focus
Noninvasive neuromodulation · Neural interfaces · Reproducible science
01 / Approach
I work where engineering rigor, neural systems, and human experience meet—building technology with a clear line of sight from experimental design to meaningful clinical impact.
02 / Selected research
Developing noninvasive approaches to modulate deep-brain circuits relevant to substance use disorder, combining neuronavigation-guided stimulation with electrophysiology to optimize targeting and characterize neural effects.
Designing DREADD viral delivery, ligand dose-response, neuroimaging, and electrophysiological approaches to study circuits involved in epilepsy and substance use disorder.
A Python package for studying dynamic changes in functional connectivity, translating calcium-imaging recordings from behaving animals into interpretable network structure.
Used graph theory, recurrent neural networks, and support vector machine classifiers to investigate functional connectivity and behavioral state across the dentate gyrus and basolateral amygdala.
03 / Experience
2026—Current
Yazdan Lab · University of Washington
Developing focused-ultrasound and chemogenetic approaches for translational neuromodulation research.
2025—2026
Bruchas Lab · University of Washington
Built reproducible computational workflows to identify community structure and activity signatures in neural circuits involved in stress, feeding, and avoidance.
2024—2025
Rogers Behavioral Health
Delivered evidence-based behavioral treatment for anxiety, OCD, and depression in an interdisciplinary partial-hospitalization setting.
2017—2023
University of Washington · Sauro Lab
Developed graph-theory and recurrent-neural-network methods for representing neurological systems in Python. GPA 3.91/4.00.
04 / Selected publications
A practical guide to reproducible modeling for signaling networks.
Methods in Molecular Biology
Standards, dissemination, and best practices in systems biology.
Current Opinion in Biotechnology
Best practices for making reproducible biochemical models.
Cell Systems
Publishing reproducible dynamic kinetic models.
Briefings in Bioinformatics
Eight peer-reviewed publications spanning systems biology, neural delivery, cancer bioengineering, and reproducible modeling.
05 / Beyond the bench
I care about the full arc of translation: the biological question, the integrity of the analysis, and the person a technology is ultimately meant to serve.
That perspective has been shaped by computational research, clinical behavioral-health work, teaching, and years of building scientific communities.
Outside the lab, you’ll find me running, climbing, backpacking, painting portraits, writing songs, or playing guitar.
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Interested in my research, technical experience, or full publication history?
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