Professional AssociationsProfessional Associations: American Physical Society (APS) | New York Academy of Science
more informationMore information: LinkedIn
Dr. Bo Wen is a versatile researcher with extensive expertise in scientific experiment design and execution, data orchestration and analysis, semiconductor/electronics/software development, and cloud architect. He has a keen interest in digital health, cognitive science, and physics. In his leisure time, he studies the influence of neuroscience and information theory on the scientific discovery process.
Joining IBM in 2016, Dr. Wen has since been working in the Healthcare and Life Sciences department, contributing to numerous wearables and IoT projects. In mid-2017, he shifted his focus to Digital Health, overseeing the operation and development of IBM’s Home Health Lab from 2018 to 2020. Dr. Wen has played a pivotal role in leading the design and development of the IBM Health Guardian platform, which currently supports multiple digital health research projects for IBM and its collaborators. Recently, he was appointed as the sub-theme lead and strategist for the Digital Biomarker field and now chairs the patent disclosure review committee of "Emerging Technology - Digital Health: Meds, Biomarkers, Therapy."
Before joining IBM, Dr. Wen had a successful career as an experimental physicist. He earned his Ph.D. in Physics from the City University of New York under the guidance of Distinguished Professor Myriam Sarachik. His research spanned a wide range of low-temperature quantum physics areas, including superconducting proximity effects in high-mobility hBN-encapsulated graphene, dipolar interactions, and long-range ordering in single-molecule magnets. Dr. Wen is well-versed in coordinating large-scale experiments that involve multi-lab collaborations and international partnerships. From 2014 to 2016, he led and supervised the construction of the Nanoelectronics Lab (Cory Dean Lab) at Columbia University.
Projects and Groups
- AI Systems
- Algorithms and Theory
- Cloud Software
- Computational Biology
- Computer Systems Design
- Computer Vision & Multimedia
- Human Computer Interaction and Data Visualization
- Internet of Things
- Knowledge Discovery and Data Mining
- Mobile Computing
- Programming Languages & Software Engineering
- Security and Privacy