YoungJu Jo
I am a final-year Ph.D. Candidate in Applied Physics at Stanford University, studying systems neuroscience with Profs. Karl Deisseroth and David Sussillo. I develop and apply computational/optical/genetic/electrophysiological approaches to measure and perturb neural dynamics in behaving animals, aiming to understand and control neural computations through the lens of data-constrained dynamical systems models. I earned my M.S. in Biology also from Stanford in 2020.
Previously, I received my B.S. in Physics and Mathematics from KAIST in 2018. There I worked on technology development for cell biology and biomedical applications with Profs. YongKeun Park and Won Do Heo. My research on AI-powered holographic microscopy was recognized by the 2022 Agarwal Award (life science paper of the year from KAIST) and commercialized by Tomocube.
X@stanford.edu (X = yjjo) / Stanford Profile / Google Scholar / GitHub / LinkedIn / Twitter
First-authored
[23] Sylwestrak EL*+, Jo YJ*, Vesuna S*, Wang X, Holcomb B, Tien RH, Kim DK, Fenno L, Ramakrishnan C, Allen WE, Chen R, Shenoy KV, Sussillo D, Deisseroth K+. "Cell-type-specific population dynamics of diverse reward computations" Cell 185, 3568–3587 (2022)
[22] Jo YJ*, Cho H*, Park WS*, Kim G, Ryu DH, Kim YS, Lee M, Park S, Lee MJ, Joo H, Jo HH, Lee S, Lee S, Min HS+, Heo WD+, Park YK+. "Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning" Nature Cell Biology 23, 1329–1337 (2021)
[21] Park S*, Ahn JW*, Jo YJ*, Kang HY, Kim HJ, Cheon Y, Kim JW, Park YK, Lee S+, Park K+. "Label-Free Tomographic Imaging of Lipid Droplets in Foam Cells for Machine-Learning-Assisted Therapeutic Evaluation of Targeted Nanodrugs" ACS Nano 14 (2), 1856–1865 (2020)
[20] Kim G*, Jo YJ*, Cho H, Min HS, Park YK. "Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells" Biosens Bioelectron 123, 69–76 (2019)
[19] Jo YJ*, Cho H*, Lee SY, Choi G, Kim G, Min HS, Park YK. "Quantitative Phase Imaging and Artificial Intelligence: A Review" IEEE JSTQE 25 (1), 6800914 (2018)
[18] Jo YJ*, Park S*, Jung JH, Yoon J, Joo H, Kim M, Kang SJ, Choi MC, Lee SY+, Park YK+. "Holographic deep learning for rapid optical screening of anthrax spores" Science Advances 3 (8), e1700606 (2017)
[17] Yoon J*, Jo YJ*, Kim M, Kim K, Lee SY, Kang SJ, Park YK. "Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning" Sci Rep 7, 6654 (2017)
[16] Jo YJ, Jung JH, Kim M, Park H, Kang SJ, Park YK. "Label-free identification of individual bacteria using Fourier transform light scattering" Opt Express 23 (12), 15792–15805 (2015)
[15] Jo YJ, Jung JH, Lee JW, Shin D, Park H, Nam KT, Park JH, Park YK. "Angle-resolved light scattering of individual rod-shaped bacteria based on Fourier transform light scattering" Sci Rep 4, 5090 (2014)
Co-authored
[14] Tajima S*, Kim YS*, Fukuda M, Jo YJ, Wang PY, Paggi JM, Inoue M, Byrne EFX, Kishi KE, Nakamura S, Ramakrishnan C, Takaramoto S, Nagata T, Konno M, Sugiura M, Katayama K, Matsui TE, Yamashita K, Kim S, Ikeda H, Kim J, Kandori H, Dror RO, Inoue K, Deisseroth K+, Kato HE+. "Structural basis for ion selectivity in potassium-selective channelrhodopsins" Cell 186, 1–20 (2023)
[13] Hsueh B*, Chen R*, Jo YJ, Tang D, Raffiee M, Kim YS, Inoue M, Randles S, Ramakrishnan C, Patel S, Kim DK, Liu TX, Kim SH, Tan L, Mortazavi L, Cordero A, Shi J, Zhao M, Ho TT, Crow A, Yoo ACW, Raja C, Evans K, Bernstein D, Zeineh M, Goubran M, Deisseroth K. "Cardiogenic control of affective behavioural state" Nature 615, 292–299 (2023)
[12] Kim G, Ahn D, Kang M, Park J, Ryu DH, Jo YJ, Song J, Ryu JS, Choi G, Chung HJ, Kim K, Chung DR, Yoo IY, Huh HJ, Min HS, Lee NY+, Park YK+. "Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network" Light Sci Appl 11, 190 (2022)
[11] Kim JM+, Jo YJ, Jung JW, Park K+. "A mechanogenetic role for the actomyosin complex in branching morphogenesis of epithelial organs" Development 148 (6), dev190785 (2021)
[10] Lee M*, Lee YH*, Song J*, Kim G, Jo YJ, Min HS, Kim CH+, Park YK+. "Deep-learning-based three-dimensional label-free tracking and analysis of immunological synapses of CAR-T cells" eLife 9, e49023 (2020)
[9] Chang T*, Ryu DH*, Jo YJ, Choi G, Min HS, Park YK. "Calibration-free quantitative phase imaging using data-driven aberration modeling" Opt Express 28 (23), 34835–34847 (2020)
[8] Yu D, Lee H, Hong J, Jung H, Jo YJ, Oh BH, Park BO+, Heo WD+. "Optogenetic activation of intracellular antibodies for direct modulation of endogenous proteins" Nature Methods 16, 1095–1100 (2019)
[7] Kim J*, Lee S*, Jung K*, Oh WC, Kim N, Son S, Jo YJ, Kwon HB+, Heo WD+. "Intensiometric biosensors visualize the activity of multiple small GTPases in vivo" Nature Communications 10, 211 (2019)
[6] Ryu DH, Jo YJ, Yoo J, Chang T, Ahn D, Kim YS, Kim G, Min HS, Park YK. "Deep learning-based optical field screening for robust optical diffraction tomography" Sci Rep 9, 15239 (2019)
[5] Lee J, Kim H, Cho H, Jo YJ, Song Y, Ahn D, Lee K, Park YK, Ye SJ. "Deep-Learning-Based Label-Free Segmentation of Cell Nuclei in Time-Lapse Refractive Index Tomograms" IEEE Access 7, 83449–83460 (2019)
[4] Choi G*, Ryu DH*, Jo YJ, Kim YS, Park WS, Min HS, Park YK. "Cycle-consistent deep learning approach to coherent noise reduction in optical diffraction tomography" Opt Express 27 (4), 4927–4943 (2019)
[3] Yoon J, Jo YJ, Kim YS, Yu Y, Park J, Lee S, Park WS, Park YK. "Label-free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning" JoVE 141, e58305 (2018)
[2] Yu H, Lee P, Jo YJ, Lee KR, Tuchin VV, Jeong Y, Park YK. "Collaborative effects of wavefront shaping and optical clearing agent in optical coherence tomography" J Biomed Opt 21 (12), 121510 (2016)
[1] Lee KR, Kim K, Jung JH, Heo JH, Cho S, Lee SY, Chang G, Jo YJ, Park H, Park YK. "Quantitative phase imaging techniques for the study of cell pathophysiology: from principles to applications" Sensors 13 (4), 4170–4191 (2013)
