Apr 2021 – Feb 2022 · 10 mos · United States

• 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.

Aug 2017 – Present · 8 yrs 7 mos · United States

• 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.

Oct 2016 – Sep 2022 · 5 yrs 11 mos · Bangalore, India

• 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).

Oct 2015 – Dec 2019 · 4 yrs 2 mos · United States

• 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.

Jul 2014 – Jun 2017 · 2 yrs 11 mos · Washington D.C. Metro Area

• 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.

Sep 2010 – Sep 2013 · 3 yrs · Arlington, VA

• 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.

Aug 2005 – Aug 2010 · 5 yrs

• 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.

Jul 2005 – Sep 2013 · 8 yrs 2 mos

• 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.

Aug 2003 – Jul 2005 · 1 yr 11 mos

• 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.

Aug 2001 – Sep 2013 · 12 yrs 1 mo

• 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).

Aug 2001 – Sep 2013 · 12 yrs 1 mo

• 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.

Aug 1998 – Jul 2001 · 2 yrs 11 mos

• Research, graduate student supervision, curriculum development, and teaching in bioinformatics and computational biology.

Aug 1996 – Jul 2001 · 4 yrs 11 mos

• Research, graduate student supervision, curriculum development, and teaching in Computer Science (especially Artificial Intelligence, Machine Learning, Knowledge Representation, Informatics and related areas)

Aug 1990 – Sep 2013 · 23 yrs 1 mo

• 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.

Aug 1990 – Jul 1996 · 5 yrs 11 mos

• Research, graduate student supervision, curriculum development, and teaching in Computer Science (especially Artificial Intelligence, Machine Learning, Neural Computation, and related areas).

Aug 2001 – May 2002 · 9 mos · Madison, Wisconsin

• Sabbatical.

Sep 1998 – Dec 1998 · 3 mos · Greater Pittsburgh Area

• Sabbatical