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Postdoctoral Research Scientist

University of Oxford, Costa Lab

Investigating the role of hippocampal behavioral timescale plasticity (BTSP) in credit assignment using analytical and computational approaches.

• Developed generalized BTSP model (gBTSP) with analytical solutions for optimal plateau potential distributions
• Integrated BTSP into burst-related theories of plasticity (burstprop, burstCCN)

Postdoctoral Research Associate

Imperial College London, Clopath Lab

Developed mechanistic theories of learning and memory formation in hippocampal networks.

• Created closed-loop model for context-sensitive feature learning via BTSP
• Developed FLEX theory for plastic temporal bases in reinforcement learning

Graduate Research Assistant

UTHealth, Shouval Lab

Investigated theoretical basis of learning and memory through biophysically realistic neural network modeling.

• Designed modular network for cortical sequence learning and recall
• Modeled BTSP formation of place cells with analytically solvable fixed points

Graduate Research Assistant

Rice University, Robinson Lab

Investigated plasticity in neural networks of Hydra vulgaris using microfluidic assays.

Research Assistant

University of San Francisco, Foreman Lab

Created and studied femtosecond electron pulses for ultrafast imaging applications.

• Built and characterized mode-locking femtosecond pulsed Erbium fiber laser

PhD

Rice University

Applied Physics

• Statistical Physics
• Quantum Mechanics
• Electromagnetism
• Theoretical Neuroscience I & II

MS

Rice University

Applied Physics

Bachelor of Science

University of San Francisco

Physics (Minors: Engineering Physics, Astrophysics)

• Computational Physics I & II
• Digital Electronics
• Mathematical Methods
• Thermal Physics
• Quantum Mechanics
• Electromagnetism
• General Relativity

Credit Assignment via Behavioral Timescale Synaptic Plasticity: Theoretical Frameworks

bioRxiv

Latent Representations in Hippocampal Network Model Co-Evolve with Behavioral Exploration of Task Structure

Nature Communications

Learning to express reward prediction error-like dopaminergic activity requires plastic representations of time

Nature Communications

Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis

Frontiers in Computational Neuroscience

Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

eLife

Evolution of Metastable Defects and its Effect on the Electronic Properties of MoS2 Films

Scientific Reports