Yu-Chih Chen Ph.D.
Yu-Chih Chen received his dual bachelor degrees in Electrical Engineering and Law from the National Taiwan University, Taipei in 2008, his Ph.D. degree in Electrical & Computer Engineering at the University of Michigan, Ann Arbor in 2014, where he continued to work as a research faculty in both Electrical & Computer Engineering Department and Forbes Institute for Cancer Discovery. He is currently an assistant professor in the Department of Computational and Systems Biology and UPMC Hillman Cancer Center at the University of Pittsburgh School of Medicine. He is also affiliated with Joint CMU-Pitt Ph.D. Program in Computational Biology. He is the recipient of Taiwan Semiconductor Manufacturing Company (TSMC) Outstanding Student Research Award (2008), Orenstein Ph.D. Fellowship (2009), Best Post-Doctoral Speaker Award in Microfluidics in Biomedical Sciences Training Program, UMich (2015), Emerging Forbes Scholar selected by Forbes Institute for Cancer Discovery (2017), and Hillman Early Career Fellow for Innovative Cancer Research (2021). His current research focuses on high-throughput single-cell analysis, next generation sequencing (NGS), and machine learning for cancer precision medicine. Office: G21 Hillman Cancer Center E-mail: [email protected] My Google Scholar Profile |
Yuan Zhang
Yuan Zhang is a visiting scholar at the University of Pittsburgh. She received her PhD degree in Beijing University of Chemical Technology and then completed her postdoctoral training in Tsinghua university. Her research interests are tumor drug resistance and therapy. Now, her research focuses on understanding the molecular mechanisms of drug resistance driven by polyploid giant cancer cells (PGCCs) and identifying novel therapeutic regimen to block PGCCs growth. Jinxiong (Xiong) Cheng
Jinxiong Cheng is a Ph.D. student in the Department of Bioengineering at the Swanson School of Engineering. Jinxiong received his bachelor’s degree in Biomedical Engineering at the Southern University of Science and Technology (SUSTech), Shenzhen in 2023, under the mentorship of Prof. Xingyu Jiang. During his senior year, he joined Prof. Aaron Wheeler’s Lab at the University of Toronto (UofT), Ontario and finished his undergraduate thesis about digital microfluidics. Now, his research interests are mainly in high-throughput microfluidics technology and cancer biology. In his spare time, Jinxiong enjoys watching anime, playing mahjong and traveling with friends. Hsiao-Chun Chen
Hsiao-Chun is a research fellow at Chen Lab. She received her Master's degree in Microbiology and Immunology from the National Defense Medical Center, Taipei, in 2023. Previously, she primarily focused on vaccinology and monoclonal antibody therapies for multidrug-resistant microbes. Currently, she works on single-cell analysis for cancer research. Huikang (Will) Ye
Will is a Ph.D. student in the Oncology Graduate Program at the University of Pittsburgh School of Medicine. He earned his bachelor’s degree in Neurobiology, Physiology, and Behavior from the University of California, Davis in 2020, followed by a master’s degree in Biochemistry and Molecular Medicine from the University of Southern California. At USC, he conducted research on breast cancer liquid biopsy under the mentorship of Dr. Bodour Salhia. Currently, Will is developing machine learning models to predict effective anti-cancer drugs by targeting fast-moving cells associated with metastatic potential. Mengli Zhou
Mengli Zhou is a MD student in Xiangya School of Medicine, and she is currently a visiting scholar at the University of Pittsburgh. Her current research projects focus on drug screening based on high-throughput methods. Edwin Rock
Edwin Rock is an undergraduate Bioengineering student at the University of Pittsburgh specializing in cellular engineering. He is pursuing minors in Math and Chemistry. His current research focuses on the relationship between read length and data quality in single-cell RNA sequencing and robotics for high throughput microfluidic experiments. Rajiv Anne
Rajiv Anne is an undergraduate student at the University of Pittsburgh and is majoring in Bioengineering with cellular engineering track. He is currently working on the Convolutional Neural Network (CNN) for cellular morphological analysis. Rohit Sreejith Nair
Rohit Sreejith Nair is an undergraduate student at the University of Pittsburgh pursuing a bioengineering degree, currently in the cellular engineering track. He is working on identifying Polyploid Giant Cancer cells with deep learning Convolutional Neural Network. |