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Research Assistant

Lewis Lab, Massachusetts Institute of Technology

Closed-loop Auditory Modulation of Cerebrospinal Fluid during Sleep

• Develop a closed-loop neuromodulation system that performs real-time scalp-EEG filtering and machine-learning-based slow-oscillation phase prediction to deliver precisely timed auditory stimulation during sleep
• Integrate simultaneous EEG-fMRI with electrophysiological and CSF-flow analyses to quantify stimulation-evoked brain and fluid dynamics across younger and older adults
• Co-authored a Science Translational Medicine study showing that closed-loop auditory stimulation targeting sleep slow waves modulates cerebrospinal fluid flow in humans

Research Assistant

Insanally Lab, University of Pittsburgh

Bayesian ensemble neural decoding and spiking recurrent neural network simulation

• Developed a probabilistic ensemble neural decoder, combining inter-spike-interval-based conditional probabilities across multiple neurons to jointly predict behavioral trial conditions, revealing that traditionally neglected quiet non-classically responsive neurons interact with responsive neurons in learning
• Demonstrated that aggregating non-classically responsive population activity improved behavioral decoding accuracy from 60% to 65% during late-stage learning compared with early learning
• Built spiking recurrent neural-network models with 1000 units in Python and Julia under biological constraints to simulate cortical mechanisms underlying auditory discrimination behavior
• Investigated how flexible neural-network dynamics emerge from balanced excitatory and inhibitory activity and authored a manuscript describing the resulting computational model

Research Assistant

Chamanzar Lab, Carnegie Mellon University

Neural Probe Waveguide Characterization System

• Developed an automated, non-destructive characterization system for photonic waveguides used in neural optical probes by integrating robotics, computer vision, and signal processing
• Demonstrated waveguide-loss characterization previously achievable primarily through destructive methods and first-authored a peer-reviewed conference proceedings paper describing the pipeline

Research Assistant

Lerman Lab, UC San Diego

Adaptive neural signal processing and peripheral nerve magnetoneurography

• Led development of an adaptive filtering algorithm for suppressing power-line interference in peripheral nerve recordings and implemented the method in a hardware demonstration
• Achieved approximately 45 dB suppression of 60 Hz interference and presented the work as first author at the North American Neuromodulation Society meeting
• Developed MATLAB signal-cleaning and processing pipelines for magnetic measurements of peripheral nerve activity, contributing analyses to a collaborative publication
• Supported human neuroscience studies involving peripheral nerve measurements and electrical stimulation

Research Assistant

Spitzer Lab, UC San Diego

Automated Fluorescence Cell Counting

• Developed an automatic cell recognition program for fluorescence brain slices in Matlab utilizing correlation to count and map a variety of brain cells, obtaining an accuracy close to expert manual selection

Research Assistant

Neuroelectronics Group, La Jolla, San Diego

Neural Recording Amplifier PCB Design

• Designed, assembled, and tested an Altium PCB for an amplifier used in in vivo neural recording
• Reduced the redesigned amplifier-board footprint to approximately 3 cm x 1 cm, more than twofold smaller than the previous design

Conference Presenter (First Author)

Society for Neuroscience

Auditory Stimulation During Sleep Modulates CSF Flow via Dual Slow-Wave and High Frequency Pathways

Conference Presenter (First Author)

Society for Neuroscience

Contributions and synaptic basis of diverse cortical neuron response to flexible task performance

Conference Presenter (First Author)

COSYNE

Contributions and synaptic basis of diverse cortical neuron response to flexible task performance

PhD

Massachusetts Institute of Technology

Electrical Engineering and Computer Science

• Functional Magnetic Resonance Imaging: Data Acquisition and Analysis

Master

Carnegie Mellon University

Electrical and Computer Engineering

• Intro to Deep Learning
• Machine Learning for Signal Processing
• Neuroengineering Laboratory
• Advanced System Neuroscience
• Micro and Nano Systems Fabrication
• Nano-Bio-Photonics

Bachelor

University of California San Diego

Electrical and Computer Engineering (Minor in Cognitive Science)

• Cognitive Neuroscience
• Linear Electronic Systems
• Introduction to Digital Design
• Components and Circuits Laboratory

EECS MathWorks Fellowship

Massachusetts Institute of Technology

Electrical Engineering and Computer Science

MIT Artificial Intelligence and Wellness Fellowship

Massachusetts Institute of Technology

Magna Cum Laude

University of California San Diego

Bachelor's degree in Electrical and Computer Engineering

Closed-loop auditory stimulation in phase with slow waves during sleep enhances cerebrospinal fluid flow in humans

Science Translational Medicine

Co-author. Closed-loop auditory stimulation aligned with sleep slow waves enhances cerebrospinal fluid flow in humans.

Auditory Stimulation During Sleep Modulates CSF Flow via Dual Slow-Wave and High Frequency Pathways

Society for Neuroscience, San Diego, USA

First author conference presentation

Contributions and synaptic basis of diverse cortical neuron response to flexible task performance

Society for Neuroscience / COSYNE

First author conference presentations

Dynamic gating of perceptual flexibility by non-classically responsive neurons

Manuscript in review

Co-authored paper on Bayesian ensemble neural decoding

Automated Photonic Waveguide Loss Measurement using Out-scattering Light Method

Integrated Systems Design and Technology Conference 2023

First author paper publication

Capturing the Magnetic Signature of Small Fiber Neuronal Activity

North American Neuromodulation Society Virtual Meeting

Co-authored conference publication

RLS Harmonic Powerline Noise Cancellation in Radial Nerve Recording

North American Neuromodulation Society Virtual Meeting

First author conference publication

Closed-loop Auditory Modulation of Cerebrospinal Fluid during Sleep

Real-time EEG phase prediction for closed-loop auditory stimulation of cerebrospinal fluid flow during sleep

Deep Learning Automatic Fake News Detection

BERT-based language model to extract relevant evidence and classify misinformation from political statements, achieving 72% two-way accuracy

EEG-based Music Recommendation

KNN system to detect musical preferences from EEG and update recommendations in real-time

Bayesian Ensemble Neural Decoding

Ensemble decoder incorporating multiple neurons to predict mouse auditory discrimination behavior

Neural Probe Waveguide Characterization System

Light-scattering characterization with robotics, computer vision, and signal processing