Young Joon Kim

I'm an incoming medical student at Harvard Medical School. Currently funded by a Marshall Scholarship, I'm conducting computational neuroscience research at the Universities of Oxford and Cambridge with Drs. Timothy Behrens and Mate Lengyel, respectively.

Previously, I studied biology and statistics at Columbia University. There, I conducted research on neural encoding and decoding with Dr. Liam Paninski. Previously, I have conduted leukemia therapeutics research at Memorial Sloan Kettering Cancer Center and Dana Farber Cancer Institute.

Email  /  CV  /  LinkedIn  /  Google Scholar

Current Research

I am interested in computational neuroscience, especially neural encoding/decoding, generalizable learning, and reinforcement learning.

Parallel functional architectures within a single dendritic tree

Developed a computational model capable of predicting dendritic Na+ spikes and discovered that they arise from unique computational motifs distinct from other aspects of dendritic integration.

Nonlinear decoding of natural images from large-scale primate retinal ganglion recordings

Built the first, state-of-the-art nonlinear retinal ganglion cell decoder for natural scene images via neural networks.

YASS: Yet Another Spike Sorter applied to large-scale multi-electrode array recordings in primate retina

Validated novel spike sorting pipeline by decoding spikes from primate retinal ganglion cells.

Previous Research

These summarize my leukemia therapeutics research that I conducted throughout high school and college along with other projects from different fields.

Synthetic Lethal and Convergent Biological Effects of Cancer-Associated Spliceosomal Gene Mutations

Therapeutic targeting of RNA splicing in myelodysplasia

The rise of technological unemployment and its implications on the future macroeconomic landscape

Modulation of splicing catalysis for therapeutic targeting of leukemia with mutations in genes encoding spliceosomal proteins

Effect of capillary action on bone regeneration in micro-channeled ceramic scaffolds

Design and source code from Jon Barron's website