Research
Experience
Doctoral & Postdoctoral Researcher
2019 – PresentHarnett Lab · Massachusetts Institute of Technology
- Led a research program on synaptic plasticity in the neocortex, identifying plateau potentials as a candidate instructive signal for rapid cortical learning
- Designed and executed 300+ in vivo mouse electrophysiology experiments combining whole-cell patch clamp, local field potential, sensory stimulation, and behavioral monitoring to study how cortical neurons integrate input over time
- Built Python/MATLAB pipelines (preprocessing, QC, event detection, feature extraction, statistics) large datasets, cutting manual analysis time by ~70% and standardizing outputs across the lab
- Developed LN-Remote, an open-source remote controller for automated probe insertion, saving ~40 minutes per experiment and improving consistency during data collection
- Integrated histology, immunohistochemistry, and confocal imaging with recording data to verify cell identity and recording location, linking functional results to anatomy
- Mentored and trained 9 lab members in electrophysiology, stereotaxic surgery, microscopy, and quantitative analysis; managed 2 research technicians
- Created a lab-wide SOP repository that shortened onboarding and improved experimental consistency across the lab
Publications
Selected Work
Plateau potentials are instructive signals for behavioral timescale synaptic plasticity in the neocortex.
bioRxiv; under review at Nature
* Equal Contribution
Contributions: Conceptualization, Experimentation, Data Analysis, Manuscript Writing
Dendritic mechanisms for in vivo neural computations and behavior.
Journal of Neuroscience · DOI: 10.1523/JNEUROSCI.1132-22.2022
Conference review paper
Contributions: Manuscript Writing and Editing
Representation of visual landmarks in retrosplenial cortex.
eLife · DOI: 10.7554/eLife.51458
Contributions: Experimentation, Data Analysis