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Artificial Intelligence Researcher, Educator, and Leader | Director, Center for Artificial Intelligence Foundations and Scientific Applications | Huck Chair in Biomedical AI and Data Sciences @ Penn State
I currently hold the Dorothy Foehr Huck and J. Lloyd Huck Chair in Biomedical Data Sciences and Artificial Intelligence at Penn State University. I have extensive research, curriculum and program development, and leadership in Artificial Intelligence, Data Sciences, and Informatics.
My research has resulted in scalable methods for learning predictive models from (distributed, heterogeneous, multi-modal, longitudinal, and very high-dimensional) data; representation learning from complex data; eliciting causal effects from observational and experimental data; selective sharing of knowledge across disparate knowledge bases; and applications in bioinformatics and health informatics (predictive and causal modeling of health risks and health outcomes from clinical, socio-demographic, and behavioral data). I have published over 300 research articles that have been cited more than 19000 times (h-index = 63). I have mentored 39 PhD students, 10 postdoctoral researchers and scores of masters and undergraduate researchers and junior faculty who have gone on to establish successful careers. I have co-founded and led innovative interdisciplinary graduate and undergraduate programs.
I have received multiple awards and honors including the National Science Foundation (NSF) Directorโs Award for Superior Accomplishment for my leadership of the NSF Big Data Program, Iowa Board of Regents Award for Faculty Excellence and numerous other awards from Iowa State University and Pennsylvania State University. I have been elected Fellow of the American Association for the Advancement of Science (AAAS) and the European Association for Innovation, and Distinguished member of the Association for Computing Machinery.
As the Director of the Center for Artificial Intelligence Foundations and Scientific Applications, I lead new research initiatives that leverage AI and data sciences to advance scientific knowledge and innovation across diverse domains, such as life sciences, biomedical and health sciences, material sciences, and more. As Associate Director of the Institute for Computational and Data Sciences, I lead strategic faculty co-hire initiatives, multi-institutional partnerships, and interdisciplinary research collaborations. My key focus is to develop and apply cutting-edge AI and data sciences methods to address complex scientific challenges and societal problems, as well as to create and disseminate interdisciplinary curricula that integrate AI and data sciences across all disciplines.
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Co-led the development of an AI Bachelors Degree Program. Developed AI undergraduate and graduate curricula and courses, designed and taught graduate and undergraduate AI courses - on machine learning, causal inference, deep learning, knowledge representation, and related topics, including first-year undergraduate general education course on AI; initiated and led AI research projects. Skills: Artificial Intelligence ยท Causal Inference ยท Deep Learning ยท Knowledge Representation ยท Machine Learning ยท Research ยท University Teaching ยท Leadership
Leadership in artificial intelligence and data sciences for advancing discovery in molecular and cellular sciences, research initiatives in AI for science, and education and training initiatives for preparing the next generation of scientists at the intersection of AI and life sciences. Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Bioinformatics ยท Machine Learning ยท Computer Science ยท Strategic Planning ยท Deep Learning ยท Big Data ยท Computational Biology ยท Science ยท Academic Administration
Research and education in Artificial Intelligence (Knowledge Representation, Machine Learning, Causal Inference) and Data Sciences, with applications to Predictive and Causal Modeling in Biological, Biomedical, Behavioral, Cognitive, Social and Physical Sciences Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching
Research in biomedical data sciences and artificial intelligence, with emphasis on predictive and causal modeling of health risks and outcomes from biomedical, behavioral, environmental and sociodemographic data Skills: Data Science ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Deep Learning ยท Big Data ยท Research ยท Science ยท University Teaching
Developed new research initiatives focused on accelerating science through advances in artificial intelligence; with initial emphasis on life sciences; biomedical and health sciences; material sciences leading to several large externally funded research projects. Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Machine Learning ยท Computer Science ยท Fundraising ยท Strategic Planning ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท Academic Administration

Envisioning, developing and deploying federated data and computing infrastructure for data and computation Intensive collaborative research across disciplinary and organizational boundaries. Initial scientific foci are structural biology and materials discovery. Skills: Higher Education ยท Computer Science ยท Big Data ยท Research ยท Science ยท Informatics

Research, graduate (PhD) student training and teaching in Computer Science (especially artificial intelligence, big data analytics, machine learning, and related topics). Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท University Teaching
Fostered fundamental research in algorithms, methods, and software for big data analytics and discovery informatics; catalyzed interdisciplinary collaborations that leverage large-scale data analytics and predictive modeling to advance sciences, engineering, and humanities, with particular emphasis on biomedical, behavioral, brain, and cognitive sciences, leading to campus-wide collaborations, multi-institutional partnerships e.g., Northeast Big Data Hub, and several large funded projects. Skills: Data Science ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Machine Learning ยท Computer Science ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics

Association for the Advancement of Artificial Intelligence (AAAI)
Program Chair for AAAI-22, responsible for organizing the scientific peer review of approximately 10,000 research articles and selection of a subset to be presented at AAAI-22. Skills: Leadership ยท Artificial Intelligence ยท Data Mining ยท Machine Learning ยท Computer Science ยท Deep Learning ยท Big Data ยท Research

Collaborative research in Data Sciences and Brain Sciences with faculty and students of the Indian Institute of Science, Bangalore (including in particular, the Department of Computer Science and Automation, Department of Computational and Data Sciences, Centre for Neuroscience, Centre for Infectious Disease Research, the Molecular Biosciences Unit, the Department of Electrical Engineering, and the Department of Electrical Communication Engineering). Skills: Data Science ยท Higher Education ยท Bioinformatics ยท Machine Learning ยท Computer Science ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching
Northeast Big Data Innovation Hub
The North East Big Data Innovation Hub aims to create partnerships that bring together academia, industry, government, and non-profits to foster innovation in big data management, analytics, and applications. It will facilitate sharing of data, tools, infrastructure, techniques, and knowledge to address challenges using big data. Initial areas of focus include Health, Energy, Finance, Cities/Regions, Discovery Science, and Data Science in Education with Data Sharing, Privacy & Security, Ethics & Policy, and Education as cross-cutting themes. The Hub will create an ecosystem to bridge across government, private and public organizations. Skills: Leadership ยท Data Science ยท Higher Education ยท Data Mining ยท Computer Science ยท Strategic Planning ยท Big Data ยท Research ยท Science ยท Informatics ยท Academic Administration The North East Big Data Innovation Hub
Computing Research Association
In my role as a member of Computing Community Consortium (CCC) Council, I worked with the broader computing research community to identify, articulate, and communicate computing research opportunities and challenges, with particular emphasis on Data Sciences, Artificial Intelligence, and applications to enhancing and accelerating science and addressing societal needs, e.g., health, social justice and civil rights, and education. Skills: Leadership ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Computer Science ยท Strategic Planning ยท Deep Learning ยท Big Data ยท Research ยท Informatics

Research, graduate (PhD, MS) student training and teaching in artificial intelligence, machine learning, big data analytics, bioinformatics, security informatics and related topics; Leading a new research initiative in Discovery Informatics. Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Fundraising ยท Strategic Planning ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching

Intergovernmental Personnel Act (IPA) Appointment. Led the NSF-NIH Big Data Science and Engineering Program (as a lead program director), Contributed to the NSF Information Integration & Informatics (especially Data Mining and Machine Learning, Semantic Web, Social Networks and Media, and Bioinformatics), Smart and Connected Health, Expeditions in Computing, Science of Learning Centers, Integrative Graduate Education and Research Training (IGERT), and Computing Research Infrastructure Programs; Research planning workshops in Discovery Informatics, Population Health Informatics, Knowledge Representation, and related topics. Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Computer Science ยท Strategic Planning ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics

Developed strategic interdisciplinary research initiatives in data science, bioinformatics, and related areas; worked with the department and the university to improve research infrastructure for computer and information sciences; fostered interdisciplinary research partnerships with other units on campus. Skills: Leadership ยท Higher Education ยท Computer Science ยท Strategic Planning ยท Research ยท Science ยท Academic Administration
Led interdisciplinary research initiatives in Artificial Intelligence, Machine Learning, Data Mining, Big Data Analytics, Knowledge Representation and Inference, Semantic web, Discovery Informatics, Genomics, Bioinformatics, Health Informatics, Energy Informatics, Immune Informatics, Social Informatics, Security Informatics, Computational Systems Biology and related areas. Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Machine Learning ยท Computer Science ยท Strategic Planning ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท Academic Administration

University of Wisconsin-Madison
Sabbatical. Skills: Data Science ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Machine Learning ยท Computer Science ยท Computational Biology ยท Research ยท Science ยท Informatics

Developing with colleagues in Biological, Mathematical, and Statistical Sciences) the establishment of a new interdepartmental PhD program in Bioinformatics and Computational Biology, which is one of the first and largest PhD programs of its kind in the US, with support from an NSF Integrative Graduate Education and Research Training (IGERT) award in 2000, renewed for a second 5-year period in 2005, and served as associate chair of the program during 2001-2003 and chair during 2003-2005; Designing and teaching graduate courses in Bioinformatics; Computational Functional Genomics and Systems Biology; leading interdisciplinary research programs in algorithms and software for analysis and prediction of macromolecular (protein-protein, protein-DNA, and protein-RNA) interfaces, comparative analysis of macromolecular interaction networks. Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching
Developed scalable algorithms for learning predictive models from large, distributed, semantically disparate data; machine learning algorithms for learning from partially specified data, richly structured (sequence, relational, graph-structured) data; logics for selective knowledge sharing across federated knowledge bases; algorithms for secrecy-preserving query answering; algorithms for representing and reasoning about qualitative preferences; algorithms for service composition, substitution, and adaptation; algorithms and software for comparative analysis of gene expression and protein interaction networks; machine learning approaches to predicting protein-protein, protein-RNA, protein-RNA interfaces, B-cell and T-cell epitopes, and other functionally important sites of proteins. Authored or co-authored over 240 peer-reviewed journal and conference papers including two receiving best paper awards, 20 book chapters, and 1 research monograph during 1990-2013; Secured approximately $30 million in research and training grants from NSF, NIH, and USDA as PI or co-PI during 1990-2013; Mentored 31 Ph.D. graduates (8 employed as tenure-track or tenured faculty in academia, 12 employed in academic research, and 11 employed in industrial research and development), 25 MS graduates (24 employed in industry, one in academic research); Designed and taught graduate and undergraduate courses in Artificial Intelligence, Machine Learning, Semantic web, Bioinformatics, and Computational Functional Genomics and Systems Biology; Served in various capacities in the department (director of research, chair of graduate admissions, member of graduate curriculum committee, undergraduate curriculum committee, chair of promotion and tenure committee); Served on editorial board of several journals and program committees of conferences (AAAI, ISMB, ICML, SDM, ACM-BCB, among others). Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Big Data ยท Computational Biology ยท Research ยท Science ยท University Teaching

Sabbatical Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Computational Biology ยท Research ยท Science

Research, graduate student supervision, curriculum development, and teaching in bioinformatics and computational biology. Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching
Research, graduate student supervision, curriculum development, and teaching in Computer Science (especially Artificial Intelligence, Machine Learning, Knowledge Representation, Informatics and related areas) Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Computational Biology ยท Research ยท Science ยท University Teaching
Research, graduate student supervision, curriculum development, and teaching in Computer Science (especially Artificial Intelligence, Machine Learning, Neural Computation, and related areas). Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Computational Biology ยท Research ยท Science ยท University Teaching
Skills: Research ยท Informatics ยท Artificial Intelligence ยท Data Mining ยท University Teaching ยท Machine Learning ยท Computer Science ยท Data Science
Skills: Research ยท University Teaching ยท Image Processing
Skills: Mathematics ยท Physics ยท Electronics Engineering
Skills: Research ยท Informatics ยท Artificial Intelligence ยท Data Mining ยท Machine Learning ยท Computer Science ยท Data Science
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Research and graduate training in neuroinformatics, computational neuroscience, cognitive neuroscience, computational models of learning, perception, and action. Skills: Data Science ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Deep Learning ยท Big Data ยท Research ยท Science ยท University Teaching
Co-developed and co-led the institute's strategic research initiatives in Data Science and Artificial Intelligence; developed the Center for Artificial Intelligence Foundations and Scientific Applications; Led strategic faculty co-hire initiatives with several departments and colleges; developed multi-institutional partnerships e.g., virtual data collaboratory, Institute for AI-enabled materials discovery, design, and synthesis, northeast big data hub, eastern regional network. Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Machine Learning ยท Causal Inference ยท Computer Science ยท Fundraising ยท Strategic Planning ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท Academic Administration ยท Biomedical Informatics
Research and graduate training in machine learning, optimization, and related topics. Skills: Higher Education ยท Curriculum Development ยท Big Data ยท Research ยท Science ยท University Teaching
Led research projects, and training graduate and postdoctoral students artificial intelligence, machine learning from large, federated, multimodal, longitudinal, richly structured data, causal inference from observational and experimental data, representing and reasoning about preferences, knowledge, and arguments, algorithmic fairness; applications in bioinformatics (analysis and prediction of protein-protein, protein-RNA, and protein-DNA interactions, interfaces, and complexes), brain informatics (analysis and modeling of network biomarkers), biomedical and health informatics (predictive and causal modeling of health risks and outcomes from clinical, sociodemographic, behavioral, genomic, and environmental data), materials informatics, security informatics, and social informatics; artificial intelligence enabled scientific discovery; federated data and computing infrastructure for data and compute intensive collaborative science. Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Machine Learning ยท Computer Science ยท Fundraising ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท Academic Administration ยท University Teaching Artificial Intelligence Research Laboratory
Research and graduate training in Bioinformatics and Computational Biology. Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching
Established and led research programs in Artificial intelligence, Data Sciences, and related areas; Co-led the development of an inter college Data Sciences undergraduate degree program; developed and taught graduate and undergraduate courses in artificial intelligence, machine learning, causal inference, knowledge representation, foundations of informatics, and related topics; served on college, university, and national committees in leadership or advisory roles (e.g., CRA Computing Community Consortium; AAAS Section on Computing, Information and Communication Nominating Committee, Eastern Regional Network Steering Committee, Northeast Big Data Hub Executive Committee); Served as program chair for the 36th AAAI Conference on Artificial Intelligence. Skills: Higher Education ยท Curriculum Development ยท Computer Science ยท Deep Learning ยท Big Data ยท Research ยท Science ยท University Teaching
Research and graduate training in bioinformatics and computational biology. Skills: Data Science ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching
Skills: Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Deep Learning ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching
Research on data analytics applied to scientific discovery. Skills: Data Science ยท Higher Education ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท University Teaching
Leading the interdepartmental PhD program in Bioinformatics and Computational Biology with approximately 40 core and 40 affiliate faculty (drawn from 12 academic departments in 4 colleges) during its formative stages; Leading a major curriculum development effort focused on required core courses for the graduate program in Bioinformatics and Computational Biology, culminating in the creation of a Bioinformatics graduate core curriculum comprising of 4 core courses covering Genomics to Systems Biology. Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Curriculum Development ยท Machine Learning ยท Computer Science ยท Fundraising ยท Strategic Planning ยท Computational Biology ยท Research ยท Science ยท Informatics ยท Academic Administration
Established a research program in Artificial Intelligence; Developed graduate and undergraduate curricula in Artificial Intelligence, Machine Learning, Knowledge Representation and Inference; Developed and led interdisciplinary research programs in Bioinformatics, Security Informatics, and Energy Informatics. Skills: Leadership ยท Data Science ยท Artificial Intelligence ยท Higher Education ยท Data Mining ยท Bioinformatics ยท Machine Learning ยท Computer Science ยท Fundraising ยท Big Data ยท Computational Biology ยท Research ยท Science ยท Informatics ยท Academic Administration ยท University Teaching