Academic year: 2017-2018
MA 463X. “Data Analytics and Statistical Learning” - Undergraduate course in statistical learning Taught, Spring 2018. Instructor rating: TBD
DS502/MA543, “Statistical Methods for Data Science” - Taught, Spring 2018. Instructor rating: DS502, TBD MA543, TBD
DS501, “Introduction to Data Science” - Taught Fall 2017. Instructor rating: 4.95
PIC Math Data Science workshop. Developed and taught four-day Data Science summer course for faculty development at BYU. 5-28-2017 to 5-31-2017
Academic year: 2016-2017
MA 463X. “Data Analytics and Statistical Learning” - Undergraduate course in statistical learning Developed and taught, Spring 2017. Instructor rating: 4.92
DS502/MA543, “Statistical Methods for Data Science” - Taught, Spring 2017. Instructor rating: DS502, 4.85 MA543, 5.00
DS501, “Introduction to Data Science” - Taught Fall 2016. Instructor rating: 4.73
CS534, “Artificial Intelligence”, get lecturer 11-21-2016.
BCB 590 Special Topics: Introduction to Computer Essentials for Bioinformatics Analysis, developed and will teach 3 one-hour classes on Python in Bioinformatics, 1-23-2017, and 1-30-2017, and 2-6-2017.
Academic year: 2015-2016
DS502/MA543, “Statistical Methods for Data Science” - Taught, Spring 2016. Instructor rating: DS502, 4.93 MA543, 4.95
DS501, “Introduction to Data Science” - Taught, Spring 2016. Instructor rating: 4.92
MA2611. “Applied Statistics” - Undergraduate course on statistical analysis. Fall 2015. Instructor rating: Section B01 3.86, Section B02 4.11, Section B03 3.86, Section B04 4.00, Section B05 4.50
Academic year: 2014-2015
DS502/MA543, “Statistical Methods for Data Science” - Taught, Spring 2015. Instructor rating: DS502, 4.94 MA543, 4.90
MA542, “Regression Analysis” - Masters level course focusing on regression algorithms. Developed and taught, Spring 2015. Instructor rating: 4.80
DS502/MA543, “Statistical Methods for Data Science” - Masters level course surveying statistical methods used in Data Science. Topics include regression, classification, dimension reduction, cross-validation, and other methods in statistical analysis. Developed and taught Fall 2014 Instructor rating: DS502, 4.76 MA543, 4.60
DS501, “Introduction to Data Science” - Masters level course that provides an overview of Data Science. Topics include data collection, storage, management, analysis, and visualization. Developed and taught Fall 2014 Instructor rating: Section 191, 4.40 Section 191, 4.61
Organizing committee, Multiscale Mathematical Modeling of Elastic Filaments conference in honor of John Maddocks’ 60th birthday, 2017
Co-Pi, Systems of Lines: Applications of Algebraic Combinatorics, NSF funded workshop, WPI, 8-10-2015 to 8-14-2015
Co-Chair, Activities committee, SciPy 2016, http://scipy2016.scipy.org 7-11-2016 to 7-17-2016.
Co-Chair, Activities committee, SciPy 2017, http://scipy2016.scipy.org 7-10-2017 to 7-16-2017.
University of Massachusetts Dartmouth, Pattern Detection in Computer Networks Using Robust Dimension Reduction (invited), 9-12-2017
University of New Hampshire, Pattern Detection in Computer Networks Using Robust Dimension Reduction (invited), 9-8-2017
ACM KDD 2017, Anomaly Detection with Robust Deep Auto-encoders (with Chong Zhou), 8-15-2017
2017 Mathematics Institute for Secondary Teaching (invited), 7-19-2017
SIAM Annual Meeting, Panel: Data Science in the Applied and Computational Mathematics Curriculum (invited), 7-13-2017
SIAM Annual Meeting, A Global Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics (with Kelum Gajamannage), 7-11-2017
MITRE, DNS and RPCA Working Meeting, 7-6-2017
BBN/Raytheon, Robust Principal Component Analysis Results Presentation, 7-5-2017
PICMath Workshop on Data Analytics (invited), class on Data Science for University faculty, 5-28-17 to 6-2-17
HPC Day 2016 at Umass Dartmouth (invited), Musings on Exabyte Scale Principal Component Analysis, 5-25-17
2017 IEEE International Symposium on Technologies for Homeland Security, Probabilistic Inference of Internet Node Geolocation with Anomaly Detection, 4-26-17
MIT-Lincoln Laboratory (invited), Pattern Detection in Computer Networks Using Robust Dimension Reduction, Processing, Exploitation, and Dissemination Seminar, 3-29-17
UMass Amherst (invited), Pattern Detection in Computer Networks Using Robust Dimension Reduction, Electrical and Computer Engineering Seminar, 2-27-17
WPI, Discrete Math Seminar, Musings On the Restricted Isometry Property and Deterministic Matrices (invited), 2-7-2017
U.S. Army Natick Soldier Systems Center, collaboration presentation, 1-27-2017
BBN/Raytheon, Pattern Detection in Computer Networks Using Robust Principal Component Analysis (invited), 1-5-2017
WPI, Department of Mathematical Sciences, industrial hiring talk, 12-7-2016
New England Security Day, Pattern Detection in Computer Networks Using Robust Principal Component Analysis, 11-29-2016
Asilomar Conference on Signals, Systems, and Computers, Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model (poster), 10-29-1016 to 11-1-2016
WPI, Department of Mathematical Sciences, advising day, 10-24-2016
U.S. Army Natick Soldier Systems Center, collaboration presentation, 10-21-2016
Nanocomp Corporation, final presentation for sponsored project, 10-19-2016
Southern Connecticut State University, Data Science Graduate Education: Content, Projects, and Computer Languages (invited), 10-17-2016
Southern Connecticut State University, Pattern Detection in Computer Networks Using Robust Principal Component Analysis(invited), 10-17-2016
NSF Workshop on Geometry for Signal Processing and Machine Learning, 10-12-2016 to 10-15-2016 INVITATION ONLY
Invited to speak at Collaborative Conference on Big Data 10-10-2016 to 10-14-2016. DID NOT ATTEND.
2016 RMACC HPC Symposium, “Musings on Exabyte Scale Principal Component Analysis” 8-10-2016
U.S. Army Natick Soldier Systems Center, collaboration presentation, 10-4-2016
SIAM Annual Meeting 2016, Education Programs in Data Sciences and Data Analytics, Strategies for Enabling Data Science Research and Education, 7-14-2016
SciPy 2016, “Python at the Intersection of Data Science, Machine Learning and Cyber Anomaly Detection”, 7-13-2015, http://scipy2016.scipy.org
MITRE corporation, collaboration presentation 7-7-2016, invited by Les Servi, small team presentation.
UNIVERSIDAD NACIONAL DE ASUNCION, Laboratorio de Computacion Científica y Aplicada Asuncion, Paraguay (invited)
WPI Data Science, 6-24-2016
Machine Learning (part 1 of 3 part short course), 6-27-2016
Unsupervised Learning and Computation (part 2 of 3 part short course), 6-28-2016
Research problems: Deep learning, high dimensions, and compressed sensing (part 3 of 3 part short course), 6-29-2016
Presentation to DHS funded project group NetBrain, (invited) “Pattern Detection in Computer Networks Using Robust Principal Component Analysis,” 6-10-2016
MITRE corporation, collaboration presentation 6/7/2016, invited by Les Servi, small team presentation.
National Professional Science Master’s Association, Data Analytics Across Disciplines meeting, (invited) Niagra Falls, NY, 5-18-2016, “Data Science Graduate Education: Content, Projects, and Computer Languages
WPI, Turing Computational Meeting, 4-14-2016 “Reprise: Conversation on Computational Python and Turing”
MITRE corporation, collaboration presentation 3-7-2016, invited by Les Servi, small team presentation.
WPI, Mathematical Sciences Ph.D. lunch, “Research Topics in Compressed Sensing, Matrix Completion, and Robust Principal Component Analysis”, 10-7-2015
WPI, Arts and Sciences Advisory Board, faculty panel, “When a Degree is Just the Beginning”, 10-2-2015
WPI, Statistics Seminar, “Matrix Completion, Robust Principal Component Analysis, and Second Order Problems”, 9-14-2015
WPI, ALAS meeting, “Pattern Detection in Computer Networks Using Robust Principal Component Analysis”, 9-4-2015
Systems of Lines: Applications of Algebraic Combinatorics, Co-Pi, “Musings on sparsity detection, point-wise error bounds, and truncated norms” 8/11/2015 http://users.wpi.edu/~martin/MEETINGS/WPILinesWorkshop.html,
International Workshop on Advanced Computational and Experimental Techniques in Nonlinear Dynamics, invited speaker, Cusco, Peru, 8/3/2015-8/7/2015. DID NOT ATTEND
SENCER Summer Institute, “Interpreting Data: A Cautionary Tale”, 8-1-2015. http://www.sencer.net/Symposia/summerinstitute2015.cfm
ICERM: Mathematics in Data Science, lighting talk, 7/29/2015
SciPy 2015, “Python in Data Science Research and Education”, 7-9-2015, http://scipy2015.scipy.org/ehome/index.php?eventid=115969&,
The 29th New England Statistical Symposium, invited speaker, “Robust Principal Component Analysis for Detecting Sparsely Correlated Phenomena in Computer Networks” 4/25/2015, http://merlot.stat.uconn.edu/ness15/program
WPI Computer Science Colloquium, “Pattern Detection in Computer Networks Using Robust Principal Component Analysis”invited by Prof. Craig Shue, 4/17/2015
WPI, Turing Computational Meeting, 2/24/2015 “Conversation on Computational Python and Turing”
SENCER SCI-New England Fall 2014 Regional Meeting, Panel Discussion: “How do our students experience data analytics?” (with Andres Colubri, Harvard University)
MathFest 2014, The Mathematical Association of America, Invited Paper Session, Fast Algorithms on Large Graphs (and Matroids) (invited), Large Graphs in Internet Tomography and Cyber Defense.
AWARD - Selection as ASCE 2016 outstanding reviewer
AMS – Review for Mathematical Reviews/MathSciNet for “Matrix Completion for the Independence Model”
AMS – Review for Mathematical Reviews/MathSciNet for “Two-Step Proximal Gradient
Algorithm for Low-Rank Matrix Completion”
Publication reviewer for Abstract and Applied Analysis 2017-present
Mathematics-in-Industry Case Studies 2017-present
Cyber Physical Systems journal 2016-present
Talk reviewer SciPy 2016-present
PME Journal reviewer 2016-present
Publication reviewer for SIF Journal of Advances in Information Fusion 2016-present
Publication reviewer for Journal of Aerospace Engineering 2014-present
Book reviewer 5-11-2015 for Springer “Algorithms for Data Science”
Book reviewer 5/15/2015 for Chapman & Hall “Modern Data Science with R”
Book reviewer 12/23/2015 for Cambridge University Press: Compressed Sensing: Algorithms and Applications
Publication reviewer for IEEE Transactions on Aerospace and Electronic Systems 2014
Proposal reviewer for AFOSR (while at Numerica)
Publication reviewer for SPIE (while at Numerica)
Committee on Information Technology Policy (CITP), a permanent subcommittee of COG, 2017-present
COACHE Working Group, 2017-present
Mathematical Sciences, Senior Faculty Hiring Committee, Worcester Polytechnic Institute, Summer 2017
Mathematical Sciences, Personnel Committee, Worcester Polytechnic Institute, 2017-present
WPI GRIE lead judge “Data Science and Cyber-security” 2017
Data Science Steering Committee, Worcester Polytechnic Institute (2014-present)
Bioinformatics and Computational Biology, Steering Committee, Worcester Polytechnic Institute (2015-present)
Data Science Graduate, Admissions and Recruiting Committee, Worcester Polytechnic Institute 2016-present
Mathematical Sciences, Undergraduate Program Committee, Worcester Polytechnic Institute, 2016-2017
Data Science/Mathematical Sciences, Tenure Track Hiring Committee, Worcester Polytechnic Institute 2016-2017
Bioinformatics and Computational Biology, Bootcamp Course Development Committee, Worcester Polytechnic Institute, 2016-present
Seceon Corporation, Board of Advisors 2015-2017
Turing management committee, 2015-present
HPC Steering Group, WPI, 2016-present
Statistics NTT Hiring Committee, WPI Mathematical Sciences 2015-2016
Department Evaluation Committee, WPI Mathematical Sciences 2015-2016
Data Science Promotion Subcommittee, Worcester Polytechnic Institute (2015-2016)
Mathematical Sciences, Graduate Program Committee, Worcester Polytechnic Institute (2015-2016)
Bioinformatics and Computational Biology, Industry Outreach Committee, Worcester Polytechnic Institute (2015-2016)
Predoctoral and doctoral students mentor in the National Alliance for Doctoral Studies in the Mathematical Sciences (limited participation) 12-23-2015-present
Research Strategic Planning/Research Implementation Group, Worcester Polytechnic Institute (2015)
National Science Foundation (NSF), 2015 NSF Graduate Research Fellowship Program (GRFP), panelist.
Data Science: Sponsorship Subcommittee, Worcester Polytechnic Institute (2014)