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JEONG-YOON LEE, Ph.D
- 12230 El Camino Real Suite 300 San Diego, CA 92130
- +1-(213) 814-1219
- jlee_at_operasolutions.com, jeongyoon.lee1_at_gmail.com
- http://jeongyoon.com
OBJECTIVE
- To research and develop intelligent machine learning algorithms
- To understand fundamental mechanisms of human learning systems
- To apply human+machine learning algorithms in various fields
WORK EXPERIENCE
- Opera Solutions, San Diego CA, USA
- Staff Scientist (June 2011 - Present)
- Machine learning R&D in healthcare, social-networks, and marketing.
- Neofect (former Ulsan Robotics), Korea
- Co-Founder, Software Engineer (May 2010 - May 2011)
- Awarded KRW 140 million (~USD 130,000) R&D grant from Korea Government
- Designed and developed a location-based social-networking smartphone application, City-of-Oz
- Korea Telecom, Korea
- Intern (June 2006 - July 2006)
- Analyzed global IT trends and proposed R&D strategies
- Accenture, Korea
- Intern (Aug. 2004 - Sep. 2004)
- Worked on a system integration project for MetLife Hong Kong
- Samsung Electronics, Korea
- Co-Education Program (July 2004), Intern (May 2006)
- Designed W-CDMA/UTMS wireless communication systems
- Oullim Information Technology, Inc., Korea
- Software Engineer (Aug. 2001 - Dec. 2003)
- Developed VPN devices based on IPsec/IKE and PKI systems
- As part of alternative military service
- Security Technologies, Inc., Korea
- Software Engineer (Sep. 2000 - July 2001)
- Developed VPN devices based on IPsec/IKE
- As part of alternative military service
EDUCATION
- University of Southern California, USA
- Ph.D in Computer Science (Aug. 2006 – May 2011)
- MS in Electrical Engineering (Aug. 2005 – Aug. 2007)
- Advised by Nicolas Schweighofer, PhD
- Seoul National University, Korea
- BS in Electrical Engineering (Mar. 1997- June 2000, Mar. 2004- Feb. 2005)
- Advised by Seongsoo Hong, PhD
RESEARCH EXPERIENCE
- Computational Neuro-Rehabilitation & Learning Lab. at University of Southern California, USA
- Research Assistant (Aug. 2005 – May 2011)
- Working on computational models of motor learning and decision making
- Advised by Nicolas Schweighofer, PhD
- Neuromotor Control Laboratory at Marquette University, USA
- Visiting Scholar (Oct. 2010)
- Designed/implemented experiments to investigate the optimal practice schedule in multi-task motor learning
- hosted by Robert Scheidt, PhD
- Integrated Theoretical Neuroscience Lab. at RIKEN Brain Science Institute, Japan
- Summer Research Intern (July 2009 - Aug. 2009)
- Worked on computational models of Dopamine systems (Reinforcement Learning)
- hosted by Hiroyuki Nakahara, PhD
- Automation & Systems Research Institute at Seoul National University, Korea
- Research Assistant (Jan. 2005 – July 2005)
- Developed self-reconfigurable robots with ETRI (Korean Government Project)
- Advised by Seongsoo Hong, PhD
PUBLICATIONS
- Research Articles
- Han, C.E.*, Kim, S.*, Chen, S.-Y., Lai, Y.-H., Lee, J.-Y., Lee, J., Osu, R., Winstein, C.J. and Schweighofer, N. (2012); Quantifying arm non-use in individuals post-stroke, Neurorehabilitation and Neural Repair (* equal contribution, submitted)
- Schweighofer, N.*, Lee, J.-Y.*, Choi, Y., Goh, H.-T., Kim, S., Stewart, J.C., Lewthwaite, R. and Winstein, C.J. (2011); Mechanisms of the contextual interference effect in individuals post-stroke, Journal of Neurophysiology 106:2632-2641, (*: equal contribution)
- Lee, J.-Y. and Schweighofer, N. (2009); Dual-adaptation supports a parallel architecture of motor memory, The Journal of Neuroscience 29(33):10396-10404
- Conference Proceedings and Abstracts
- Lee, J.-Y., Zhang, H. and Petrushin, V. (2012); Survival analysis for marketing, Learning Workshop, Snowbird, Utah, Abstract 113
- Oh, Y., Barres, V., Lee, J.-Y. and Schweighofer, N. (2011); Design of individualized motor training schedules based on predictions of long-term retention, Society for Neuroscience, Washington, DC, Abstract 387.21
- Lee, J.-Y., Kim, K. and Schweighofer, N. (2010); Optimal schedule for multi-task motor learning, Society for Neuroscience, San Diego, CA, Abstract 493.19
- Lee, J.-Y. and Schweighofer, N. (2010); Simultaneous practices, rather than sequential practices, of multiple tasks facilitate long-term retention of motor memory in patients with stroke, Society for Neural Control of Movement, Naples, Florida, Abstract E.12
- Kim, S., Lee, J.-Y. and Schweighofer, N. (2010); In search of the optimal schedule for multi-task motor adaptation, Society for Neural Control of Movement, Naples, Florida, Abstract E.15
- Lee, J.-Y. and Schweighofer, N. (2009); Development of resistance to interference in dual adaptation: experimental evidence and computational insights, Society for Neural Control of Movement, Waikoloa, Hawaii, Abstract C.10
- Schweighofer, N., Kim, D., Lee, J.-Y., and Choi, Y. (2008); Learning model-based adaptive task schedules enhance motor adaptation, Society for Neuroscience, Washington, DC, Abstract 854.15/EE28
- Chen, S.-Y., Han, C.E., Parikh, N., Lee, J., Lee, J.-Y., Xu, E., Winstein, C.J., and Schweighofer, N. (2008); BART: a novel instrument to measure spontaneous arm use in patients after stroke, Society for Neuroscience, Washington, DC, Abstract i276.14/KK24
- Lee, J.-Y., and Schweighofer, N. (2007); A parallel model of motor learning, Society for Neuroscience, San Diego California, Abstract 508.3
- Patents
- Kim, J., Lee, J.-Y., and Kim, Y. (2003); Device for Sending Data Using Multi-Tunneled VPN Gateway, Korean Intellectual Property Office, Korea, IPC Code: H04L 12/66
- Published Translations (English to Korean)
- Shin, J., and Lee, J.-Y. of Boling, D. (2007); Programming Windows Embedded CE 6.0 Developer Reference, 4th Ed, Microsoft Press
TEACHING EXPERIENCE
- Teaching Assistant at University of Southern California
- BKN 569 - Fundamentals of Neuroscience
- CSCI 571 - Web Technologies (Java, Java Script, Perl, XML, Ajax)
- CSCI 561 - Foundation of Artificial Intelligence (Machine Learning, Knowledge Bases)
- CSCI 545 - Robotics
- CSCI 455 - Introduction to Programming Systems Design (C++)
- CSCI 201 - Principles of Software Development (Java, Subversion) : led programming labs
- CSCI 105 - Object Oriented Programming (Java) : led programming labs
- CSCI 102 – Data Structure (C++, Unix, Ddd) : led programming labs
- Guest Instructor at University of Southern California
- BKN 618L - Modeling the Motor System : gave a MATLAB programming tutorial
INVITED TALKS
- BME Department Seminar at Marquette University in Milwaukee, WI (Oct. 2010)
HONORS
- Scholarship for Overseas Study from Korean Government (Aug. 2005 – May. 2007)
- Graduate Assistantship for Research and Teaching from USC (Sep. 2006 - Present)
EXTRACURRICULAR ACTIVITIES
- USC Korean Graduate Student Association: Vice President (Apr. 2008 - May 2009)
- USC LIGHT Ministry: Founding Member
SKILLS
- Korean, C/C++, MATLAB, R, Java, Python, Perl, SAS, SPSS, UNIX, Linux, Vim, Brain Voyager, Subversion(SVN)/CVS