Ph.D. in Mechanical & Aerospace Engineering, Seoul National University, Korea, 2007

Full Professor, Kyung Hee University, Korea, 2010 – present Feinberg Foundation Visiting Professor, Weizmann Institute, Israel, 2013-2014 Adjunct Professor, Xian Jiatong University, China, 2010 – present Postdoc, Harvard-MIT HST, Harvard Medical School, U.S.A., 2007 – 2010

Z. Chen, W. G. Lee, 2019, “Electroporation for microalgal biofuels: A review,” Sustainable Energy & Fuels 3 (11), 2954 - 2967. W. G. Lee et al., 2017, “A glasses-type wearable device for monitoring the patterns of food intake and facial activity,” Scientific Reports, 7: 41690. K. Kim, W. G. Lee, 2017, “Electroporation for nanomedicine: a review,” Journal of Materials Chemistry B, 5: 2726-2738. K. Kim, W. G. Lee, 2012, “Seeing the electroporative uptake of cell membrane impermeable fluorescent molecules and nanoparticles,” Nanoscale, 4: 5051-5058. J. A. Kim, W. G. Lee, 2011, “Role of weakly polarized nanoparticles in electroporation,” Nanoscale, 3: 1526-1532. W. G. Lee et al., 2010, “Nano/microfluidics for diagnosis of infectious diseases in developing countries,” Advanced Drug Delivery Reviews, 62: 449-457.

Examiner, Ministry of Security and Public Admin, 2010 – 2016 Grant Reviewer, National Research Foundation of Korea, 2012 – present Best Teaching Awards, Kyung Hee University, 2011-2013 (3 consecutive years) Associate Editor, Journal of Mechanical Science and Technology, 2010 – 2016 Editorial Board, Microsystem Technologies, 2008 – present Editorial Board, Micromachines, 2020 – present Chief Director, Korean Society of Industrial Applications, 2014 – present Councilor, Korean Biochip Society, 2010 – present Councilor & Senior Member, ICROS, 1998 – present Best Graduate Paper Award (with highest honor), 2007 Best Presentation Paper Award, Asan-Harvard Joint Int’l Symposium, 2004 Full Scholarship (merit-based, admission with highest distinction), 1992

Microscale electroporation for nanomedicine and biofuel applications Machine element design & engineering for human-machine interface applications Wearable sensors via machine learning for digital healthcare applications