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RiskEcon® Lab for Decision Metrics

Courant Institute of Mathematical Sciences

60 Fifth Avenue, 3rd Floor, New York, N.Y. 10011. Tel: (212) 998-3264

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Team, Industry Research Associates & Lab Alumni

  Team Industry Research Associates Alumni Alumni (Cont'd)
  Rodoniki Athanasiadou Michael Coggins Stephen Jun Choe Sourabh Taletiya
  Samantha D'Alonzo Nicholas Joseph Katherine Erickson Tai Young-Taft
  Dhruv Mehrotra H. David Krauss Do Heon Koo  
  Jonathan Morales   Tom Lagatta
  Edwin Reed-Sanchez   Taehoon Song  
  Ryan Saxe   Andrew Sundstrom

Team

  Niki Athanasiadou

Rodoniki (Niki) Athanasiadou

Niki joined RiskEcon® Lab as a Research Scientist in 2016, and is currently a Visiting Researcher at the Courant Institute of Mathematical Sciences, as well as a Data Science fellow at Fast Forward Labs. Niki is coordinating the RiskEcon Lab interdisciplinary research program that focuses on utilizing demographic, clinical and digital behavior data, in order to understand obesity incidence in the US. Her research interests focus on the use of clinical, genomic/biological, and digital information to analyze factors affecting disease onset. This project is part of the RiskEcon Lab CEcADA external partnership initiative.

Niki earned a Ph.D. in Cellular and Molecular Biology from the University of Edinburgh, studying epigenetic regulation of gene expression during embryonic development. She continued her work on the epigenetics of disease at the Albert Einstein College of Medicine, and subsequently joined NYU’s Center for Genomics and Systems Biology in 2011. During her time there, she studied how metabolic rate affects gene expression regulation and developed a method for accurate quantitation of next generation sequencing data from diverse biological samples. Niki has received awards for academic excellence from the Greek Scholarship Foundation, fellowships from the Lilian Voudouri Foundation (Greece) and Darwin Trust of Edinburgh, and she was named “Promega Young Biochemist of the year” by the British Biochemical Society. Niki is also an active participant in open discussion forums on science, as contributor to commercial online magazines and newsletters, as well as through talks and workshops in NYC.

 

  Samantha D'Alonzo

Samantha D'Alonzo

Samantha is an Assistant Research Scientist at the RiskEcon® Lab, conducting research on the marginal peer effects of text based social media indicators on the propensity for obesity in New York State using statistical analyses. This project also involves implementing ​SIR ​ (Susceptible - Infected - Recovered) models based on the aforementioned statistical analysis, in order to simulate the propagation of obesity. She reached the semi-finals of the 2017 Regeneron STS science competition (the competition formerly sponsored by Intel, and Westinghouse) for her paper Statistical and SIR Modeling in NY State of Syndrome X based on Text Based Indicators from Social Media and Food Environment. Samantha has presented her research at NYU SMaPP as well as at the IEEE MIT Undergraduate Research Technology Conference.

Prior to starting at RiskEcon Lab, Samantha completed an independent research project on the effectiveness of the friendship paradox in tracking infectious diseases, specifically three strains of the Coxsackievirus, earning honorable mention at the Long Island Science and Engineering Fair (LISEF), and third place at the New York State Science and Engineering Fair (NYSSEF) in 2016.

Samantha graduated from Paul D. Schreiber High School in 2017, and is currently a student at Massachusetts Institute of Technology, pursuing a B.Sc. in Computer Science.

 

  Dhruv Mehotra

Dhruv Mehrotra

Dhruv is a Research Assistant at RiskEcon® Lab, working with Saycel, developing low cost network infrastructure for rural regions. He is a Brooklyn-based researcher, deeply invested in using technology to promote transparency and social justice, and is currently also a resident at Eyebeam and a researcher at the ACLU's Speech Privacy and Technology Project.

Dhruv earned a Masters degree from NYU's Interactive Telecommunications Program (ITP), and a B.A. in Political Science and Government, also from NYU. He has also served as a teaching assistant for NYU ITP's Towers of Power class, which combines hands-on skills in open source communications and sensor tools with business strategies for emerging markets.This Saycel R&D project is part of the RiskEcon Lab CEcADA external partnership initiative. Visit Dhruv's website and his Github page.

 

  Jonathan Morales

Jonathan Morales

Jonathan has been a Junior Researcher at RiskEcon® Lab since 2016, working on the Saycel research project, focusing on telecommunications infrastructure in developing regions. A former New York City College of Technology Student, majoring in Computer Systems Technology, he works on Puppet, Docker, and other mass deployment software to aid Saycel in its daily operations. The Saycel R&D project is part of the RiskEcon Lab CEcADA external partnership initiative.

Since 2001 Jonathan has been teaching himself as much as possible about IT, using sources ranging from Wikipedia, Youtube, forums, and Linux magazines. In the summer of 2013, he digested over 200 hours of computer build guides, before successfully building his first custom-built PC. While attending New York City College of Technology, he worked at Robofun, which offers after-school and summer camp programs for children. He started as a teacher's assistant, and continued as Robofun's IT Coordinator, focusing on keeping the company current in terms of technology, and solving the challenges of day-to-day IT needs. He also works with individuals and businesses, solving their IT challenges.

 

  Edwin Reed-Sanchez

Edwin Reed-Sanchez

Edwin is a Junior Research Scientist at RiskEcon® Lab and dedicates his time to developing open source communications solutions for emerging economies. He is also the founder of SayCel, a company that implements low-cost communications infrastructure in developing regions. SayCel currently operates a network on the Caribbean Coast of Nicaragua, which won the 2015 Stern Berkeley Social Venture Award, and in 2016, was among the first portfolio of investments for the UNICEF Innovation Fund.

Edwin and his research collaborators recently held a hackathon at Courant in Open Source Cellular, and he is actively collaborating with Rhizomatica, a Mexico-based non-profit running 21 indigenous community networks, FreeRadio Brazil, LibreMesh from Argentina, Osmocom from Germany, and University of URRACAN in Nicaragua. SayCel is also an active member in the Telecom Infra Project, a Facebook initiative that aims to reimagine the deployment of communications infrastructure which took him to their OpenCellular Workshop in Nairobi, Kenya. The Saycel R&D project is part of the RiskEcon Lab CEcADA external partnership initiative. Visit the Github page for Saycel.

Edwin graduated with a Masters degree from NYU's Interactive Telecommunications Program (ITP), and is now an adjunct professor, teaching NYU ITP's Towers of Power class, which combines hands-on skills in open source communications and sensor tools with business strategies for emerging markets. He was recently invited to be a guest lecturer and collaborator at the Technology and Innovation Lab, School of Engineering at Universidad del Desarollo in Chile.

 

 

Ryan Saxe

Ryan is a Technical Research Assistant at RiskEcon® Lab, working on applications of advanced computational methods (e.g. machine learning) to data sets which are relevant to certain research streams of the RiskEcon Lab team and various affiliated faculty.

Ryan graduated from NYU in May 2017 with a Bachelors degree in Mathematics and Computer Science, and is currently pursuing a Master's degree in Computer Science at Courant Institute, with a Data Science track. His academic interests are directed towards exploring solutions to complex problems using advanced data-driven computational methods. His previous activities have included data mining for clustering and classification of purchasing patterns in fashion industry data, hierarchical modeling for causal and syndromic identification of post-traumatic stress in medical research data, as well as exploratory data analysis of social networks.


Industry Research Associates

  Mike Coggins

Michael Coggins

Mike is a Visiting Scholar at Courant Institute of Mathematical Sciences affilated with RiskEcon® Lab. He has spent most of the last fifteen years working on human and machine sensory systems. Most recently he has been working in the field, and in clinical settings with human sensory reprogramming for Life Time Fitness (and previously Equinox) as an instructor, speaker and personal trainer with clients who, post injury or chronic disease, typically face significant challenges to integrating peripheral and central nervous system processing.

Mike earned a Ph.D. in Physiology from Yale University, where his doctoral dissertation centered on characteristics of second-order sensory neurons in the visual and auditory pathways, with broader application to tonic neuronal cells and processes. Mike spent over eight years in the US Air Force (active duty and reserves) as part of the Electronic Combat DSO, tasked with developing, testing and qualifying defensive countermeasures to missiles that used (predominantly) optical sensors. He also holds an M.S. in Biomedical Engineering from Wright State University, earned concurrently with military service, where he focused on computational projects around mimicking neuronal inputs to biomedical hardware, and EEG statistical data interpretation with application to quantifying internal mental states; as well as experiments and data analytics on a cognitive overload study relating to human-machine interfaces for combat drone pilot information overload. He graduated with a B.A. in Physics from Cornell University, with an emphasis on vision and audition from the perspective of neurobiology, psychology, art and computer science.

 

  Nick

Nicholas Joseph

Nicholas Joseph is a legal practitioner, also serving in an advisory capacity as a subject-matter domain expert affiliated with RiskEcon® Lab, focusing on use-case applications of Natural Language Processing (NLP) and text mining for development of case law analytics within relevant domains. In this role, he contributes relevant background for legal scholarship and research, as well as litigation process and practice.

Nicholas is a trial lawyer with extensive experience in complex commercial litigation. He has tried cases in state and federal court, argued at the trial and appellate level (including the Delaware Supreme Court), and led litigation teams in highly publicized cases. He has litigated disputes involving federal securities law, breach of contract, fraudulent inducement, conversion, unjust enrichment, class actions, derivative claims, and breach of fiduciary duty, and has particular expertise in cases concerning complex financial products, including RMBS, CDOs, and CDS.

Nicholas is a partner Kauff Laton Miller LLP.  Prior to that, he was at Quinn Emanuel Urquhart & Sullivan LLP, and before that at Debevoise & Plimpton LLP. He is a magna cum laude graduate of the University of Michigan Law School, where he was an editor of the Michigan Law Review and was elected to the Order of the Coif. He clerked for Judge Timothy B. Dyk of the Court of Appeals for the Federal Circuit and received his B.A. from Columbia University.

 

  Dave Krauss

H. David Krauss

Dave is a practicing legal analyst affiliated with RiskEcon® Lab. An avid student of the institutional and legal analysis of social choice and common pool resources, with a strong commitment to the study of social and environmental justice, Dave's research focuses on law and economics at the intersection of environmental liability and corporate financial distress solvency.

Dave received his J.D. from Fordham University School of Law, where he graduated magna cum laude, and a B.A. in History from the University of Michigan. After spending the first few years of his legal career at a major law firm focusing on complex litigation and white-collar defense, Dave is committed to employing his legal skills and trial experience to further investigate those issues most relevant to fundamental social, political and economic principles underlying the legislative and judicial process, in particular the application of text analysis and natural language processing to the social structure of case law.


Lab Alumni

  Stephen

Stephen Jun Choe

Stephen interned at RiskEcon® Lab during 2015-2016, conducting research on the potential environmental and economic impact of the hypothetical derailment of Bakken crude-oil tank trains along the Hudson River. He worked under the guidance of senior industry professionals and presented a final research product to Scenic Hudson, one of the largest environmental non-profit organizations. This project was part of the RiskEcon Lab CEcADA external partnership initiative.

Stephen graduated with a Bachelors degree in Finance and Statistics from NYU Stern School of Business, and currently works at Citi as an analyst in a group focusing on credit, quant, and project management across industries.

 

  Katherine

Katherine Erickson

Katherine was a Junior Research Scientist at RiskEcon® Lab in 2016, and served as lead programmer for the Lab’s simulation and visualization, demonstrating the application of models such as Lotka–Volterra to the study of population dynamics. The project had its debut at the Black Rock Forest Consortium annual benefit luncheon in 2016. This project was part of the RiskEcon Lab CEcADA external partnership initiative. View the simulation on Katherine's website and her Github page.

Katherine graduated with an M.S. in Computer Science from Courant Institute of Mathematical Sciences at NYU, and a B.A. in Biology from Oberlin College. She is currently a Software Engineer at Relevant, a healthcare software and analytics company based in NYC.

 

  Do Heon Koo

Do Heon Koo

Do Heon interned at RiskEcon® Lab during 2015-2016, leading the intern team conducting research on the potential environmental and economic impact of the hypothetical derailment of Bakken crude-oil tank trains along the Hudson River. He worked under the guidance of senior industry professionals and presented a final research product to Scenic Hudson, one of the largest environmental non-profit organizations. This project was part of the RiskEcon Lab CEcADA external partnership initiative.

Do Heon graduated with a summa cum laude Bachelors degree in Finance and Statistics from NYU Stern School of Business. His honors thesis, The Supercharger Effect: Comparison of Hybrid, Plug-In Hybrid, and Battery Electric Vehicle Adoption in New York State (Read Do Heon's thesis here) was conducted under the guidance of Nobel Laureate in Economics, Professor Michael Spence, and Professor David Mordecai, and published as part of NYU Stern's Honors Program. Since graduating from NYU, Do Heon has been working at Morgan Stanley's Investment Banking Division in Hong Kong.

 

  Tom Lagatta

Tom Lagatta

Tom collaborated with RiskEcon® Lab in 2012, facilitating various courses, including the DSCM Workshop, the advanced topics in applied mathematics seminar taught by David Mordecai. He also organized interdisciplinary graduate-level reading groups and research collaborations. While Tom was an Instructor and PIRE Fellow at Courant Institute, he also collaborated with political scientists on designing mechanisms for driving voter turnout.

Tom earned a Ph.D. in Mathematics from the University of Arizona, focusing on geodesics (optimizing paths) in random environments. He also holds a B.S. in Mathematics from University of Texas, Austin. Tom is currently a Sales Engineer at Splunk, a multinational corporation that produces software for searching, monitoring, and analyzing machine-generated big data, via a web-style interface. Tom helps customers solve IT, security and business problems using machine data. He also continues to work on academic research in his free time.

 

  Taehoon Song

Taehoon Song

Taehoon interned at RiskEcon® Lab during 2015-2016, conducting research on the potential environmental and economic impact of the hypothetical derailment of Bakken crude-oil tank trains along the Hudson River. He worked under the guidance of senior industry professionals and presented a final research product to Scenic Hudson, one of the nation's largest environmental conservation non-profit organizations. This project was part of the RiskEcon Lab CEcADA external partnership initiative.

Taehoon graduated with a Bachelor of Science in Accounting and Statistics from NYU Stern School of Business, and currently works in Washington DC as a Data Analyst in the Securities Practice Group of Cohen Milstein Sellers & Toll, a law firm with over ninety attorneys, specializing in complex class actions including antitrust, civil rights and employment, consumer protection, employee benefits, and product liability.

 

  Andrew

Andrew Sundstrom

Andrew was a Senior Research Scientist at RiskEcon® Lab from 2013 to 2014. He collaborated with David Mordecai on research involving the evolving metabolic heterogeneity of a tumor cell population as an economic phenomenon. Dr. Mordecai was invited to make presentations to the Physical Sciences Oncology Center (PS-OC) at Princeton University in January 2014, and subsequently to the members of the PS-OC Steering Committee in March 2014, upon which the Steering Committee extended an invitation to attend the April 2014 national meeting at the NIH for further discussion and exploration.This project was part of the RiskEcon Lab CEcADA external partnership initiative.

Andrew is currently a Postdoctoral Research Fellow in the Iyengar Lab, Institute for Systems Biomedicine at the Icahn School of Medicine at Mount Sinai. He graduated with a Ph.D. in Computer Science and Computational Biology from NYU.

 

  Sourabh

Sourabh Taletiya

Sourabh was a Research Intern at RiskEcon® Lab during 2015. He served as a programmer supporting a RiskEcon Lab collaborative research project, being supervised by Drew Dimmery from the Social Media and Political Participation (SMaPP) Lab, an interdisciplinary collaboration that examines the impact of social media on political behavior by iterating through stages of model development, testing, refinement, and validation. Sourabh's responsibilities included engineering an open source toolkit with concrete functionalities such as aggregator, filter, data visualization and machine learning methods, using Python, NodeJs and MongoDB. This project was part of the RiskEcon Lab CEcADA external partnership initiative.

Sourabh earned a M.Sc. in Computer Science from NYU Tandon School of Engineering, and has been employed as a Software Developer at Walmart Labs since graduation.



  Tai Young-Taft

Tai Young-Taft

Tai was an advisee of RiskEcon® Lab in 2012 (in conjunction with the NYU Social Science Dean) on parimutuel prediction market research on political risk surveillance as part of the RiskEcon Lab CEcADA inititiative, while he was a post-doctoral researcher and adjunct economics instructor at NYU.

Tai is currently a Research Scholar at the Levy Institute (with research interests including stock-flow consistent modeling, stochastic dynamical systems, and derivatives markets), and an assistant professor of economics at Bard. He was previously an instructor at Gulf University for Science and Technology in Kuwait, and at St. Francis College (Brooklyn). Tai holds a Ph.D. in Economics from the New School for Social Research, an M.A. in Statistics from Yale University, and a B.A. in Political Science from Reed College.