Kappes' research focuses on chromatin biology, epigenetics and tumor biology. He is especially interested in how the unique chromatin-associated oncogene DEK, a long-standing interest in the laboratory, participates in and regulates these processes. His teaching interests at Duke Kunshan include molecular biology, cell biology, epigenetics and biochemistry. He has authored over 30 papers relating to DEK biology, some of which appeared in leading academic journals including PNAS, Genes & Development and Nature Communications.

Yiu Wing Kam's major area of research activity is on the study of the adaptive immune response in patients (focusing on IgG class switching and epitope identification). He is also interested in studying the virus-host interaction, findings from which will contribute to biomarker identification and immunotherapy development. In addition, he hopes to draw on his research knowledge to develop better vaccine candidates against infectious diseases (particularly epitope-specific antibodies and epitope specificity at single amino acid level).

His research focus includes number theory, combinatorics, symbolic computation, and probability. He is mainly interested in using symbolic computation and experimental mathematics to study topics in analytic number theory and combinatorics. He has published papers in leading academic journals including the Journal of Number Theory and the Journal of Symbolic Computation. Jiu has a B.Sc. and a M.Sc. from the Beijing Institute of Technology and a Ph.D. from Tulane University, New Orleans.

Her research focuses on late imperial/early modern (16th to 19th century) Chinese literature, exploring how literati and gentry women reconciled the relationship between self and the world and constructed identities through their writings of sensory experiences. She is especially interested in the representations of senses in underrepresented genres like?tanci?(plucking rhymes),?xiaopin?(vignette), and?yiyu?(reminiscent words). Her teaching interests at Duke Kunshan include advanced-level Chinese language, classical Chinese, early modern Chinese literature, and Jiangnan culture. Ji has a B.A.

His research focuses on understanding quantum nature of light and matter and developing ways to harness them for next generation quantum technologies including quantum computing. His teaching interests at Duke Kunshan include integrated science and advanced physics. Hwang has a B.Sc. and a Ph.D in physics from Pohang University of Science and Technology, South Korea. Before joining Duke Kunshan, he was a postdoctoral researcher at the Institute of Theoretical Physics at Ulm University, Germany.

His research is in the fields of complex analysis in several variables, harmonic analysis, and operator theory. He is particularly interested in the Bergman kernel, the Bergman projection, and mapping properties and weighted inequalities of operators in several complex variables. His teaching interests include foundational and advanced mathematics courses in pure math. Huo has a B.Sc. in mathematics from Wuhan University, and a Ph.D. in mathematics from the University of Illinois, Urbana-Champaign. From 2016 to 2018, he worked at Washington University in St. Louis as a postdoctoral fellow.

His research is at the intersection of performance and history, with a primary expertise in kunqu, a classical form of song drama associated with the Kunshan and Suzhou area. He is particularly interested in the relationship between culture and its written or audiovisual record, together with the controls and contingencies to which the record and archives are subject.

Huang has a B.S (2007) in Electrical Engineering at Tsing Hua University, Taiwan, an M.S. (2010) in Electrical Engineering at the University of Southern California, and a Ph.D. (2014) in Computer Science at the University of California, Los Angeles. Prior to joining Duke Kunshan University in 2021, he was an Associate Professor at Case Western Reserve University (2014-2021). His research focus is the intersection among Active Health, Internet-of-Things, Machine Learning and Informatics, Motion and Physiological Signal Sensing.

His research interest is in understanding, predicting and eventually controlling the collective behavior of sand grains (i.e., granular materials) by means of lab experiments and computer simulations, in order to shed light on widespread applications such as space exploration, powder-based additive manufacturing (3D printing), landslide and earthquake triggering, dune migration and transport. He is also interested in the acoustical design of opera theatres. Huang has a B.Sc. in electronic engineering and a Ph.D. in physical acoustics from Nanjing University.