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Click here or scroll down to respond to this candidateCandidate's Name , PhDStreet Address -06-03EMAIL AVAILABLELINKEDIN LINK AVAILABLECandidate's Name helps computers help humans to see clearly into complex dynamic distributed systems to determine what could happen and decide what we should do. Typically for highly complex situations ranging from saving lives during fast-moving pandemics, to historically unprecedented topsight into global economic interaction patterns, to peering decades into the future to design human-computer ecological economics ecosystems for pandemic-safe highly resilient thriving. No matter how powerful our processors, algorithms, or new quantum computing may become, the art of asking the right questions and inventing the right systems for effective human-computer insights, collaborative distributed decision systems, and secure, resilient, systems for sustainable opportunities means harnessing our full powers for the greatest possible wisdom for thriving. Professional experience includes computer science and many years as a professional software designer, developer, GeoComputation professor, and research leader. She served as Chief Scientist for Data Insights for Dell Research in Silicon Valley, and earlier as Director of Information Services for a big-data insights startup decades ahead of its time, including patents for complexity-adjusted evaluation of healthcare providers. She co- founded the Computational Laboratories Group in the Department of Economics at UCSB, served for more than a decade as a founding member of the International Steering Committee for the GeoComputation Conference Series, and served on the US National Academy of Sciences National Research Council Committee on Organizational Modeling from Individuals to Societies, and on an NSF Review Panel for Cyber-Infrastructure. Accomplishments include instigating and developing a National Bureau of Economic Research (NBER) simulation model to evaluate the baby boom's collective effects on the US Social Security System's balance of payments out to 2050; shared patents for clinical-complexity-adjusted evaluation of health care providers (Peer- A-Med); a genetic algorithm (GA) to optimize the geographic location of facilities such as emergency centers, clinics, or vaccine stockpiles; invention of a genetics-based machine learning relevance filter representation for expert detection of relevant events in many billions of spatio-temporal data streams; invention of a new measure to quantify socio-economic influence or the pandemic vulnerability of cities, the leadership effectiveness of individuals, and of opportunities and risks in networks; implementation of a supervisory genetic algorithm(meta-GA) for multi-objective optimization of network structure; the design and funded development of five versions of the GeoGraph spatial agent-based Computational Laboratory; a genetic algorithm for Disaster- Resilient Location-Allocation optimization; the quantitative evaluation of inter-city pandemic risks and optimization of pandemic interventions; and innovative algorithms for privacy-preserving families of global economic insights via more than 90 Billion records per day. Academic training includes a PhD in Geography (Computational Spatial Economics) from the University of California Santa Barbara, specializing in agent-based computational laboratories on distributed dynamic economic graphs. UCSB research followed a wonderfully interesting transition year of Geographic Information Science PhD studies and nearly an accidental PhD in the Department of Geography at the University at Buffalo. In addition, she attended the 1995 Santa Fe Institute Complex Systems Summer School and holds an MA with advanced PhD work in Economic Theory and Game Theory from the University of Rochester. Her economics background includes formal micro-economic theory and international trade theory, public finance (which includes theory and practice relating to overuse of shared resources (tragedy of the commons), externalities (pollution), public goods, thin markets, market failures), and game theory (especially axiomatic bargaining theory, a formal structure for evaluating fairness in resource allocation problems) in the Economics Department at the University of Rochester. Personal adventures and interests include living in South Asia during grade school, attending the United Nations International School, and running a farm during high school. With a lifelong passion for cycling, archery, Aikido, disaster resilience, dancing with the universe, road trips, and Order of Interbeing mindfulness. StrengthsAgile high-tech expert adept at inventing, designing, and developing highly effective systems for insightsSuperb analytical, insight, data science, design, problem-solving, and debugging ability (99.8 percentile)PhD Economics and Computational Social Science, ENTP Inventor with a record of effective innovationsSelf-starter adept at collaborative learning, teaching, and mentoring with all levels, ages, and backgroundsInterdisciplinary training in economics, genetics, science, and fair allocation provide rare foundations for CS Artificial Intelligence, Machine Learning, Agent Modeling, and Data Science AccomplishmentsInvented, developed, and refined innovative algorithms for benevolent privacy-preserving families of data-driven product lines, driven by more than 90 Billion records of big-data global economic topsight per day.Designed a Genetics-Based Machine Learning (GBML) representation for adaptive expert detection of context- sensitive relevant events, details, and generalizations even in messy real-time spatio-temporal data.Designed a highly-effective and now-standard genetic algorithm representation for location-allocation.Implemented a supervisory genetic algorithm (meta-GA) for multi-objective optimization on networks and as a key computational laboratory toolbox for tuning and exploring behavior of simulation models.Designed and developed an innovative and powerful network (graph) measure for leadership and risk.Research publications in top journals such as Climatic Change, Management Science, and the Journal of Artificial Societies and Social Simulation, with chapters in the North-Holland Handbook of Agent-Based Computational Economics, and invited, peer-reviewed GBML/LCS in Spatial Evolutionary Modeling. Scientific / Technical ExpertiseLanguages / Packages Python, Pandas, Pig, Spark, HDFS, Hadoop/MapReduce, networkx, Solidity (Ethereum), Rust (Holo), LEDA, Tom Sawyer, Objective-C, C, C++, Fortran, SAS Base, SAS Macros, PGAPack, LaTeX, AI / Machine Learning Genetic Algorithms, Spatio-Temporal Genetics-Based Machine Learning / LCS(20+ years, Highly Expert, including R&D, peer-reviewed papers, a new industry standard rep, design and development of a high-value healthcare insight system) Operating Systems *nix dev, admin, scripting (20+ years), Cray T3E (Unicos), MVT/JCL2, OS X, Win#s Spatial Agent-Based GeoGraphs (15+ years, in Swarm (Objective-C) & RePast (Java)), GIScience/Theory (20 years) Special Skills Spatial and Network Economics, Relevance Filters, Data Mining, Recommendation Systems, Adaptive Inference, Adaptive Expert Systems, AI, Spatial Agent-Based Simulation, Dynamic Optimization, Network Modeling and Analysis, Statistical Analysis and Econometrics, Mathematics, Spatial Systems, Weighted Directed Graphs/Networks Service to the AcademyNational Academy of Sciences, National Research Council, Committee on Organizational Modeling from Individuals to Societies, 2005-2007Institute of Medicine Report Review Modeling Community Containment for Pandemic InfluenzaNational Science Foundation Review Panel for Cyberinfrastructure, Feb 2007International Steering Committee, GeoComputation Conference Series, 19942012 Funded ResearchResearch funding of $1,857,089 for 2002-2008 (EPA, NIH, ONR). Sole or lead PI on more than 90%. Education2001 PhD Geography (Computational Social Science), University of California, Santa Barbara, CA 1995 Complex Systems Summer School, Santa Fe Institute, NM (please see santafe.edu) 1993 PhD Candidate in Computational Geography (NCGIA), SUNY at Buffalo, NY (xfer to UCSB) PhD Student in Economics (Game Theory, Public Finance), University of Rochester, NY MA Economics (Microeconomics, International Trade), University of Rochester, NY BA High Distinction in Economics, University of Rochester, NY (Economics GPA 3.92 / 4.0) Professional ExperienceFounder, President, CEO Aiki Labs, Public Benefit Corporation (PBC) (2008 Present) (https://www.AikiLabs.com) Aiki Labs is an agile, high-tech, collaborative R&D Benefit Corporation for combining high-performance computing with real-time human systems sensing and coordination to improve security, resilience, thriving, opportunities, and wisdom for entrepreneurs, companies, communities, and critical infrastructure at all scales. (See also https://tech-grace.com) Chief Scientist for Data Insights, Dell, Inc., Santa Clara, CA (Nov 2013 Sep 2015) Chief Scientist with Dell Research, leading R&D for insight systems to leverage comprehensive yet privacy-preserving big data and cloud power to improve individual and community health, well-being, and resilience. Senior Data Scientist (Contract), Verisign, Inc., Reston, VA (July 2012 June 2013) Designed and developed a DNS-based TTL-normalized Resolver Interest Metric (RIM) to measure the interest over time of any recursive resolvers population in any domain. RIM is independent of the number of unique resolvers querying each domain, and thus provides a high-value insight weight for DNS traffic. Senior Research Scientist, Kynen, Inc., Reston, VA (2010-2011) SAS and Python statistical analysis and research for evaluation and refinement of iris biometrics and metrics-based quality modeling. Obtained ~$575K new funding by introducing probit analysis. SAS Consultant for Cekan Consulting, LLC, Washington DC (2010) SAS data imports from multiple USAID databases and formats, data cleaning, and analysis. Developed highly agile macro-driven reporting system for fast turnaround after updates. Visiting Assistant Professor, Department of Economics, University of Maryland (Fall 2008) Invited to teach an advanced seminar for PhD students, on Agent-Based Computational Economics. Assistant Professor, Department of Geography, University of Maryland, College Park (August 2002 July 2008) RESEARCH on simulation and optimization for controlling H5N1 pandemic flu (see Funded Research, page 2 above) TEACHING graduate seminars on Computational Laboratories, Medical Geography, Economic Geography, and advanced undergraduate courses on Economic Geography, Medical Geography, and Spatial Analysis and Location- Allocation (Spatial-Networks Operations Research)SERVICE for National Research Council Committee, NSF Panel on Super-Computing, NSF Peer Reviewing National Research Council, Committee on Organizational Modeling from Individuals to Societies (2005-2007) Co-Founder and Researcher, Computational Laboratories Group, Economics Dept, UCSB (1998-2000) HPC Research with Cray T3E, MPI, Linux/Intel, C, C++, and SAS, including for Management Science publication. Part-Time Network Modeling Consultant, University of Denver (Network Modeling, Analysis, and Visualization for Ozone Connections, Canan, P. and Reichman, N. (2001)) (1998-2000) Using LEDA, C++, and SAS. Teaching and Research Assistantships, Department of Geography and the National Center for Geographic Information and Analysis (NCGIA), UCSB (1994-1998) In Human Geography and Operations Research. Graduate Research Fellow, Department of Geography and the NCGIA, Univ at Buffalo (1993-1994) Research on spatial evolutionary optimization; wrote six research papers in one year, presented at conferences. Director of Information Services (=> CTO), HealthChex, Incorporated (1990-1992) HealthChex designed, developed, and licensed patented expert-system software for the clinical-complexity-adjusted evaluation of health care providers such as physicians, physician groups, and hospitals. Clients included HMOs and Fortune 500 corporations. Twenty years later both systems remained leaders in the analysis of health care treatment quality (Peer-A-Med) and medical claims fraud prevention (Auto-Audit). This included responsibility for recruiting and mentoring an elite team of software engineers, for designing and developing two flagship software systems from scratch under challenging deadlines (3 months from start to finish until Peer-A-Med was generating revenue (I was Peer-A-Meds only developer.), 6 months from start to finish for Auto- Audit to begin generating revenue), for determining appropriate platforms for use in-house and for clients, and for developing innovative PC-cluster HPC alternatives (=> cloud in 1990!) to mainframe processing of extremely large databases (databases were too large to fit onto IBM mainframe disks). Named as the only tech/developer on the National and International Patents for Peer-A-Med. |
