Professional AssociationsProfessional Associations: ACM SIGSPATIAL | IBM Academy of Technology | INFORMS | Institute of Industrial Engineers (IIE)
Kun Hu, Ph.D., is a research manager, research staff member of the Industrial and Applied Genomics team in the department of AI and Cognitive Software at IBM Almaden Research Center. Kun is a frontier engineer named by the US National Academy of Engineering in 2017 (USFOE). She was nominated and awarded as “Silicon Valley Emerging Leader” by YWCA in 2018. Kun is a member of IBM Academy of Technology (AoT) since Janurary 2017 (only 796 members across 45 countries).
Dr. Hu is trained as a system and behavioral scientist. She is an expert in quantitative analysis (mathematical model and simulation), machine learning and deep learning. During her early career, she applied quantitative approaches, such as system dynamics modeling, agent-based modeling and social network analysis (SNA) to get a better understanding of distinct complex dynamic systems in the domain of public health. She is member and committer to the Eclipse open source project: Spatio-Temporal Epidemiological Modeler (STEM) under Eclipse Foundation. She led community efforts to respond recent epidemic outbreaks, such as H7N9 in 2013, Ebola in 2014-2015, Zika in 2015-2016 etc. She was principle investigator on the research project: big data analytics to accelerate the foodborne disease outbreak investigation that widely reported by media including CNN. She was also nominated to work on IBM Health Corps team partnered with Panamanian CDC (Gorgas Memorial Institute) and MoH (MINSA) at Panama City, Panama in 2017 (details). She was inaugural Science Slam speaker during IBM Almaden 30th Anniversary Event. About her work on Ebola, please listen to her podcast: Containing Ebola with Mathematical Modeling (report).
As a research manager, she leads a team of scientists and software developers. She is responsible for defining and executing organizational strategy and research agenda, leading on business development with corporate BD, developing and delivering proposal & projects, ensuring compliance and alignment of technical and budget applications, creating and maintaining private&public partnership, focusing on new technology adoption and application, making sure the invested domain has great potential to generate business impact and value.
She led her team's efforts in a diverse research domain, from metagenomics and genomics for food safety, AI powered robot microscope (IBM research's 5 in 5 in 2018), cellular construct and engineering (NSF grant, with UCSF, SFSU, University of California Berkeley, Stanford University and The Exploratorium) (example work in AI), early contaminated food source identification during outbreak, infectious disease (DARPA grant, project example), to a cloud-based bioinformatics pipeline for genome assembly, classification and annotation. Her team has collectively published articles on Nature Method, Nature Genetics, Nature Communication, Plos Computational Biology, JTB, etc, and files several dozens of patents in the US.
Dr. Hu has co-authored over 30 technical journal, conference and workshop papers. She also filed many US patents. Kun received her Ph.D. in Industrial and Systems Engineering with specialty in Management System Engineering from Virginia Tech in 2011. She also obtained M.E. in Control Theory and B.S. in EE in China.