Xiao Ma

Dr. Xiao Ma serves as an Industry Assistant Professor of Biomedical Engineering at NYU Tandon School of Engineering since July 2019, conducting interdisciplinary research at the intersection of mechanobiology, computational biology, and nanotechnology. His work bridges molecular/cellular mechanics with micro/nanofabrication techniques to develop advanced biointerfaces and biosensors.

His academic foundation includes:

• Bachelor of Science in Mechanical Engineering, Tsinghua University (2004)
• Master of Science in Mechanical Engineering, Tsinghua University (2007)
• Ph.D. in Mechanical Engineering, Iowa State University (2013)

Dr. Ma's research centers on cellular morphodynamics, molecular biophysics, and cancer biology, with significant contributions to electro-responsive biointerface design. He employs machine learning for cellular image analysis and develops nanoscale platforms for controlled biomolecular binding/unbinding events, particularly focusing on thrombin-aptamer systems. His methodologies integrate atomic force microscopy, molecular dynamics simulations, and spatiotemporal spectrum decomposition to quantify cellular mechanics.

Analysis of his 15 most recent publications reveals a cohesive research trajectory emphasizing force spectroscopy, computational modeling of cellular behavior, and electroactive biointerfaces. Key themes include real-time modulation of protein-DNA interactions through electrical stimuli, machine learning applications in morphodynamic profiling, and nanomechanical characterization of biosensor surfaces. His work consistently bridges theoretical computational models with experimental validation in biointerface engineering.

His scientific recognition includes:

• Research Excellence Award, Iowa State University (2013)
• SES Conference Travel Awards for best graduate papers (2012, 2010)
• Teaching Excellence Award, Iowa State University (2009)

While specific advising details aren't documented in available sources, his postdoctoral training at UT Southwestern Medical Center involved bioinformatics and cell biology research. Current laboratory infrastructure isn't explicitly described, but his publications indicate advanced capabilities in molecular dynamics simulation, atomic force microscopy, and microfabrication techniques for biointerface development.