J. Yang Scholarship Program      

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The J. Yang Scholarship Program at  UC San Diego funds undergraduate and graduate scholarships and research programs for the purpose of recruiting and retaining highly promising future scholars from Taiwan high schools and universities. The grant will also support student research programs for UC San Diego students studying in Taiwan; travel and residencies for UC San Diego faculty and researchers in Taiwan; and an annual bilateral symposium to discuss topics of mutual interest, including current research partnerships, results of research collaborations and opportunities for seeding future activities.

The J. Yang Family and Foundation provides $1.5 million over five years to fund these bilateral programs, including graduate and undergraduate scholarships, summer research internships, travel awards and the annual bilateral symposium.  UC San Diego is committed to a 100% match for cost sharing these awards.

UC San Diego is privileged to partner with the J. Yang Family and Foundation to implement this most meaningful program. We are extremely pleased that we have funded eight outstanding students from Taiwan in Bioinformatics and Systems Biology, Chemistry, Computer Science & Engineering, Electrical & Computer Engineering, Neurosciences, and Structural Engineering. It is our strong belief that their study and research will be significantly aided by the J. Yang Scholarship, thus facilitating the completion of their outstanding education at UC San Diego for the advancement of their respective fields and improvements of the wellbeing of humankind.

For more detailed information on J Yang Scholarship Programs click here: J. Yang Scholarship Awards Information.

 

UC San Diego Scholars


2020

 

Ya-Chien-Chang1Final3.jpgYa-Chien (Vanessa) Chang

Ya-Chien (Vanessa) Chang is currently a first year Ph.D. student in Computer Science and Engineering at UC San Diego.  Ya-Chien got a master's degree in applied mathematics from National Tsing Hua University.  She is interested in investigating learning-based methods with control-theoretic foundations in the context of various autonomous systems.  In her first year of the Ph.D. program, her work was published in the 33rd Conference of Neural Information Processing Systems (NeurIPS) in 2019. Building on the initial success with safe and reliable learning for control, Ya-Chien is currently exploring various directions for more challenging tasks in autonomy. As the lack of safety guarantee has become important open challenges in the development of reliable autonomous systems, her long-term goal is developing practical and reliable intelligent control methods that can enable the wide and safe applicability of autonomous systems in the foreseeable future. In addition to being dedicated to research, she is the president of UCSD Taiwanese Graduate Student Association for 2020-2021.

 

cheng2.jpgPin-Chung (Tony) Cheng

Pin-Chung (Tony) Cheng is a first-year Ph.D. student in the Division of Biological Sciences at UC San Diego. He grew up in Taichung, Taiwan and enjoys the beautiful nature and tasty local foods in his hometown. He received his M.D. degree from Kaohsiung Medical University and completed his internship in Chung-Ho Memorial Hospital. Feeling limited by the current medical technology and the need to better understand diseases, Pin-Chung went on to study neurodegenerative disease in Yun-Ru Chen Lab at Academia Sinica, Taiwan. There he developed his skills in biochemistry and molecular biology and applied them to investigate the role of misfolded protein in ALS and Alzheimer’s disease. Afterwards, Pin-Chung completed a M.S. degree in stem cell biology and regenerative medicine at University of Southern California, where he studied how metabolism can influence muscle stem cell aging in Joseph Rodger Lab. Currently at UC San Diego, Pin-Chung is developing an interest in bioinformatics and the rapidly advancing field of single-cell genomics. He plans on using a novel single-cell assay and computational analysis to identify genetic mutations and pathways that drive cancer growth. He believes by applying these single-cell technologies, we can build a massive library of disease database that will help us gain remarkable insight into disease mechanisms and lay the foundation for developing precision medicine that will improve patient outcome.

Hsuan-Lin.pngHsuan-lin (Charlene) Her

Hsuan-lin (Charlene) Her is a Ph.D student in Bioinformatics and Systems Biology. She grew up in Taipei and received M.D. from Taipei Medical University. During college, she joined Yu-Wei Wu's lab at Graduate Institute of Biomedical Informatics. There she explored how bioinformatics can potentially provide insight to severe clinical problems such as antibiotic resistance. She believes that the advance of genome sequencing technology will make revolutionary changes to medical practices. In grad school, she plans to explore the functions of RNA-binding protein and find novel disease mechanisms.

 

 

ho2-final.pngChing Hwa (Hank) Ho

Ching Hwa (Hank) Ho was raised in Hsinchu, Taiwan. He graduated from National Tsing-Hua University, and received Bachelor of Science degree in 2014. Later he entered National Taiwan University for Master of Science degree, and completed his thesis under Dr. Chun-hsien Chen’s supervision in 2016. After obligatory military service, he then served as a research assistant in Dr. Chia-Chun Chou’s research laboratory in National Tsing Hua University. He came to United States in 2019 for pursuing doctoral degree in chemistry, and joined Dr. Francesco Paesani’s group in 2020.  Ching-Hwa Ho’s research interests include charge transport phenomena in nano-scale materials, which was inspired by his previous research topics: molecular electronics and non-adiabatic molecular dynamics. Ching-Hwa Ho also has cumulative 8 years’ practical experience in chemistry teaching since 2010. He is passionate about conveying complex knowledge with easy languages, and arousing students’ interest by seemingly simple questions.

 

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Ting-Chou (James) Lin

Ting-Chou (James) Lin is currently a second-year Ph.D. student in the Department of Computer Science and Engineering at UC San Diego. He was born and grew up in Taiwan. He received the B.S. degree in Electronics Engineering from National Chiao Tung University and the M.S. degree in Electronics Engineering from National Taiwan University under the supervision of Prof. Yao-Wen Chang. He worked as a software engineer at Cadence Design Systems, Taipei for one and a half years. He has published two conference papers at International Conference On Computer-Aided Design (ICCAD). Currently, he works with Prof. Chung-Kuan Cheng and focuses on a multi-objective cost-driven path-finding problem subjecting to complex constraints. He is one of the main developers of the open-source project OpenROAD. His current research interests are, including but not limited to, search and optimization, reinforcement learning, and design automation. As for future research directions, he would like to apply reinforcement learning for playing the game of design automation, where a simultaneous multi-objective optimization scheme and a sophisticated reward approximation function are needed.

 

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Chung-Yueh (Jeremy) Lin

Chung-Yueh (Jeremy) Lin is a first-year Ph.D. student in the Neurosciences Graduate Program in UC San Diego School of Medicine. Jeremy was born and grew up in Taiwan, which was earlier called Formosa, meaning a beautiful island in Portuguese. He received his B.S at MIT, participated in International Chemistry Olympiad, performed cell biology research in the Harvey Lodish Lab at the Whitehead Institute about lipid metabolism in red blood cell development, and neuroscience research in Nobel laureate Susumu Tonegawa’s Lab at MIT about hippocampal circuit for social memories. From these experiences, Jeremy has developed broad interests ranging from molecular neurobiology to systems neuroscience, and has built a strong multi-disciplinary academic background required for advanced neuroscience research. Jeremy intends to devote himself to elucidating the mechanisms of the memory systems. He will focus on exploring two cutting-edge research topics in the rotations through the Neurosciences laboratories. The first potential project is to study the relationship between (epi)genomics and memory storage strategy in the hippocampus, and the second one is to study the functions of cortical-hippocampal circuits during memory formation by advanced techniques. Jeremy also took initiatives in several academic student organizations in neuroscience and computer sciences as he realized that the future neuroscience research will involve different skill sets. In the long run, he expects to take leadership roles in large-scale interdisciplinary research regarding learning and memory systems and neurodegenerative diseases.

 

lin2.JPGYun-An (Ann) Lin

Yun-An (Ann) Lin is a PhD student in the Department of Structural Engineering at UC San Diego. She grew up in Hsinchu, Taiwan and graduated from the National Chiao Tung University with a bachelor’s degree in Civil Engineering. She developed an interest in structural health monitoring through her participation in undergraduate research projects. Shortly after starting her graduate studies at UCSD, she joined the ARMOR (Active, Responsive, Multifunctional, and Ordered-materials Research) Lab to work with Prof. Ken Loh and soon found tremendous interests in designing next-generation thin film sensors for structural and human health monitoring applications. Her first research project sponsored by the U.S. Army Corps of Engineers, where she designed and characterized nanocomposite sensing skins for detecting and localizing damage in U.S. Army Corps structural assets. At the same time, she also worked on an Office of Naval Research project focusing on developing fabric-based pressure sensors for wounded warfighters and amputees, specifically, on mapping pressure distributions and hotspots in socket prostheses. This work was in collaboration with LIM Innovations, a socket prosthesis company based in San Francisco, CA and was where she interned during summer of 2019. Her PhD thesis research will build on her previous accomplishments, where she will design, test, and deploy wearable nanocomposite sensors for human motion and physiological monitoring. The long-term goal of her work is to develop and then leverage these wearable physiological sensors as a platform for integrating other future functionalities and that these technological advancements will find broad uses in healthcare, military, the entertainment industry, the arts, and consumer settings.

 

liu2.jpgWen-Chin (Brian) Liu

Wen-Chin (Brian) Liu was born in Hualien, Taiwan, R.O.C. He received the B.S. degree in electronic and computer engineering from National Taiwan University of Science and Technology, Taipei, Taiwan, in 2017; the M.S. degree in electrical engineering from National Taiwan University, Taipei, Taiwan, in 2019. He is currently working toward a Ph.D. degree in electrical and computer engineering at the University of California, San Diego, CA, USA.  His current research interests include high-frequency modeling, analysis, and constant-on time control strategies of dc-dc power converters for point-of-load applications, power management of integrated circuits, high-power-density isolated dc-dc resonant converter, high-power high-efficiency dc/dc and ac/dc and battery management system. All the researches aim to achieve better energy conversion with compact size enabling future life while saving energy waste.  In 2016 and 2017, Wen-Chin actively engaged in IEEE international future energy challenge competition, with 5th and 3rd place, respectively. Besides, he received the best thesis award from the EE department of National Taiwan University (NTU) in 2019, University of California San Diego (UCSD) graduate student fellowship in 2019.

 

wu2.jpgYueh-Hua (Kris) Wu

Yueh-Hua (Kris) Wu is currently a researcher at Academia Sinica, Taiwan. He will be joining the Computer Science and Engineering Department at UC San Diego as a Ph.D. student from Fall 2020. He has graduated from National Taiwan University with a bachelor’s and a master’s degree in Electrical Engineering and Computer Science, respectively. Yueh-Hua developed his research interest in Artificial Intelligence since college and his work has been accepted for presentation at international conferences such as International Conference on Machine Learning (ICML) and Association for the Advancement of Artificial Intelligence (AAAI).  Yueh-Hua is interested in solving empirical problems related to reinforcement learning and imitation learning, including sample inefficiency and imperfect demonstrations. His work, Imitation Learning from Imperfect Demonstration, was done when he interned at RIKEN Advanced Intelligence Project (AIP), Japan, under the supervision of Prof. Masashi Sugiyama. Yueh-Hua worked on low-cost inverse reinforcement learning, which enables reinforcement learning approaches to directly learn the preference of the designers from demonstrations without additional labeling effort.