Kun (Maggie) Hu  Kun  (Maggie) Hu photo         

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Academy of Technology LogoSenior Manager, Research Staff Member, IBM AoT member
IBM Almaden Research Center, San Jose, CA, USA


Professional Associations

Professional Associations:  ACM SIGSPATIAL  |  IBM Academy of Technology  |  INFORMS  |  Institute of Industrial Engineers (IIE)


Kun (Maggie) Hu, Ph.D., is a senior manager, venture lead 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 2017. In 2021, She is on the organizing committee of 2022 CAFOE that is co-organized by US National Academy of Engineering (NAE) and Chinese Academy of Engineering. 

Dr. Hu is trained as a system and behavioral scientist. She is an expert in big data analytics, machine learning (deep learning) and AI. 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 a committer to the Eclipse open source project: Spatio-Temporal Epidemiological Modeler (STEM). She led community efforts to respond recent epidemic outbreaks, such as H7N9 in 2013, Ebola in 2014-2015, (podcast: Containing Ebola with Mathematical Modeling, report) Zika in 2015-2016, Covid19 in 2020. She was principle investigator on the research project: big data analytics to accelerate the foodborne disease outbreak investigation that was widely reported by the 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 reported by VentureBeat. 

As a research manager, she led a team of scientists and software developers. Her team invested in multidisciplinary research domains, from metagenomics and genomics for food safety, AI powered robot microscope (IBM research's 5 in 5 in 2018), cellular construct and engineering (example work in AI), infectious diseases to a cloud-based bioinformatics pipeline for genome assembly, classification and annotation. She was responsible for defining and executing strategy and research agenda, collaborating with corporate BD, developing and delivering proposal & projects, creating and maintaining private and public partnership, focusing on new technology creation and application, making sure the invested domain has great potential to generate business impact and value. Her team has collectively published articles on Nature Method, Nature Genetics, Nature Communication, Plos Computational Biology, JTB, etc, 

Since 2020, Kun is the venture lead on an organic growth venture (project g.nome) incubated at IBM (Research) that launches a cloud-native SaaS application to revolutionize the genomics industry, by transforming the way biotech, pharma, and research organizations discover insights and breakthroughs. 

Dr. Hu has co-authored over 30 papers. She also filed more than a dozen of US patents. Kun received her Ph.D. in Industrial and Systems Engineering, specialized in Management System Engineering from Virginia Tech in 2011. She also obtained M.E. in Control Theory and Technology and B.S. in EE in China.