Congratulations to Numerati Partners Ecosystem Affiliates on Their Accomplishments
Numerati® Partners is pleased to congratulate several ecosystem affiliates on their recent accomplishments. Numerati® Partners broad ecosystem of engineers, scientists, researchers, and strategic advisors provide expertise in variety of industry and domain specific areas and are critical in the identification, technical assessment and evaluation of technology, as well as ongoing development and commercialization.
John Y. Shin
John Y. Shin completed an M.Sc. in Computer Science from New York University (NYU) Tandon School of Engineering in September 2021. While matriculating at NYU, John also conducted research in residence at RiskEcon® Lab @ Courant, on physics-inspired Machine Learning algorithms and application of spectral graph theory, statistical physics, non-asymptotic random matrix theory, and computational learning theory to Graph Neural Networks (GNNs), heavy-tailed weight matrix compression and localization, as well as Jacobian matrix tail properties, funded by a David K. A. Mordecai and Samantha Kappagoda Charitable Trust Graduate Research Fellowship tuition grant. He is currently a Senior Research Associate at Numerati® Partners focusing on classification and error rate quantification in real-time machine learning systems, which leverage physical principles. His current research and interests are in the area of robust machine learning, where he has worked on utilizing Langevin dynamics to improve the robustness and calibration of machine learning models, as well as theoretical work on the generalization gap of deep learning models.
Joseph Aylett-Bullock, Ph.D.
Dr. Joseph (Joe) Aylett-Bullock recently joined the United Nations (UN) as a Research Scientist in the Secretary General’s UN Global Pulse program. UN Global Pulse focuses on emerging technology, big data and artificial intelligence to support economic development, humanitarian action, and peacebuilding activity. He completed the doctoral requirements for a Ph.D. in Data Intensive Science in Theoretical Particle Physics at Durham University in August 2021.
Dr. Aylett-Bullock’s doctoral thesis, entitled Colliding Worlds: Modern Computational Methods for Scattering Amplitude Calculations and Responding to Crisis Situations, explored nascent applications of Machine Learning (ML) to approximate complex functions describing the probability of particle collision processes (scattering amplitudes) to accelerate Monte Carlo particle collision simulations of processes relevant to Large Hadron Collider physics. Dr. Aylett-Bullock also discussed the application of analogous ML and modelling methodologies to support decision making in crisis situations. Specifically, he developed computer vision methods for refugee camp mapping and rapid flood assessment, and discussed various uses of ML and artificial intelligence to address the COVID pandemic by adapting particle collision simulations to agent-based modelling for epidemiology, and introduced an individual agent-based model of infectious disease transmission in the United Kingdom as well as in refugee and internally displaced person (IDP) settlements. As of November 2021, Dr. Aylett-Bullock transitioned to independent research advisory appointments with RiskEcon® Lab and Numerati® Partners from his previous roles as RiskEcon® Lab Industry Research Associate and Numerati® Partners Research Affiliate.
John Urschel, Ph.D.
Dr. John Urschel is an applied mathematician/theoretical computer scientist and a current member of the Institute for Advanced Study (IAS). He completed the doctoral requirements for a Ph.D. in Mathematics at Massachusetts Institute for Technology (MIT) in September 2021. Dr. Urschel was advised by Professor Michel Goemans, Professor of Mathematics.
His doctoral thesis, entitled Graphs, Principal Minors, and Eigenvalue Problems, considered four independent topics within linear algebra: determinantal point processes (DPPs), extremal problems in spectral graph theory, force-directed layouts, and eigenvalue algorithms. Upon completing his Ph.D., Dr. Urschel will be spending a year as a postdoctoral fellow at the Institute of Advanced Study, followed by another year as a Harvard Junior Fellow, before returning to MIT as an Assistant Professor of Mathematics.
Zhu Wang, Ph.D.
Dr. Zhu Wang completed the doctoral requirements for a Ph.D. in Computer Science from NYU Tandon School of Engineering in conjunction with Courant Institute of Mathematical Sciences NYU in May 2021. Dr. Wang was advised by Professor Ken Perlin, Professor of Computer Science. Courant Visiting Scholar and Numerati® artners Co-Managing Member Professor David K.A. Mordecai was a member of Zhu’s dissertation committee. Subsequent to completion of his Ph.D., Dr. Wang is serving as a Post-Doctoral Researcher at NYU Future Reality Lab.
Dr. Wang’s doctoral thesis, entitled Virtual Reality for Human Balance Assessment, presented research on VR-based balance assessment in standing and walking, utilizing emerging technologies (e.g., motion capture, pressure-sensing, and eye-tracking) to create a balance assessment platform with controlled functional contexts and multidimensional metrics to investigate postural control with different intensity levels of multi-sensory stimuli. Dr. Wang concluded that the VR-based balance assessment platform: (i) assists investigation of effects and responses by enabling various contexts and different balance strategies; (ii) enables rich data acquisition of body motion, underfoot pressure and visual attention signals, to measure balance performance; (iii) produces online feedback and spatial visualizations; (iv) facilitates accessibility with cost-effective ease of use and active feedback for clinical applications, e.g., rehabilitation, fall prevention and risk assessment.
Sebastian Herscher, Ph.D.
Dr. Sebastian Herscher completed the doctoral requirements for a Ph.D. in Computer Science from Courant Institute of Mathematical Sciences NYU in January 2020. He was advised by Professor Ken Perlin, Professor of Computer Science. Courant Visiting Scholar and Numerati® Partners Co-Managing Member Professor David K.A. Mordecai was a member of Sebastian’s dissertation committee. Dr. Herscher is currently an engineer at Apple.
Dr. Herscher’s doctoral thesis, entitled Scaling Multi-user Virtual and Augmented Reality, explored the current state of Virtual and Augmented Reality (XR) ecosystems, and presented a set of components, systems, and experiments that assist in the creation and scaling of multi-user virtual and augmented reality experiences for mass audiences, and outlined the strengths of techniques found in traditional co-located media for the design space of scaled co-located XR.
Connor DeFanti, Ph.D.
Dr. Connor DeFanti completed the doctoral requirements for a Ph.D. in Computer Science from Courant Institute of Mathematical Sciences NYU in May 2019. Dr. DeFanti was advised by Professor Ken Perlin, Professor of Computer Science. Numerati® Partners Co-Managing Member Professor David K.A. Mordecai was a member of Connor’s dissertation committee. Dr. DeFanti is currently a Technical Consultant at Parallux.
Dr. DeFanti’s doctoral thesis, entitled Co-Located Augmented and Virtual Reality Systems, presented a series of experiments that demonstrates social aspects of co-located Augmented and Virtual Reality (AVR), a set of solutions that overcome the difficulties often encountered in such experiences, and directions for future scalability using forthcoming AVR hardware and technologies.
About Numerati Partners LLC
Numerati® Partners LLC coordinates a data analytics and technology development ecosystem, with the mission of advancing and fostering the next generation of scalable data-intensive risk and liability management enterprises. The firm provides resources fundamental to advancing the development of nascent leading-edge inferential surveillance, monitoring, and predictive analytics technologies for deployment within the RiskTech domain: risk technologies associated with adaptive distributed, networked and embedded systems such as remote sensing, agent-oriented data analytics, computing and control systems. Numerati® Partners curates integrated RiskTech solutions as well as forensic and use-case applications in RiskTech sub-domains such as LitTech, RegTech, FinTech and InsurTech (litigation technology, regulation technology, financial technology and insurance technology).
John Y. Shin
John Y. Shin completed an M.Sc. in Computer Science from New York University (NYU) Tandon School of Engineering in September 2021. While matriculating at NYU, John also conducted research in residence at RiskEcon® Lab @ Courant, on physics-inspired Machine Learning algorithms and application of spectral graph theory, statistical physics, non-asymptotic random matrix theory, and computational learning theory to Graph Neural Networks (GNNs), heavy-tailed weight matrix compression and localization, as well as Jacobian matrix tail properties, funded by a David K. A. Mordecai and Samantha Kappagoda Charitable Trust Graduate Research Fellowship tuition grant. He is currently a Senior Research Associate at Numerati® Partners focusing on classification and error rate quantification in real-time machine learning systems, which leverage physical principles. His current research and interests are in the area of robust machine learning, where he has worked on utilizing Langevin dynamics to improve the robustness and calibration of machine learning models, as well as theoretical work on the generalization gap of deep learning models.
Joseph Aylett-Bullock, Ph.D.
Dr. Joseph (Joe) Aylett-Bullock recently joined the United Nations (UN) as a Research Scientist in the Secretary General’s UN Global Pulse program. UN Global Pulse focuses on emerging technology, big data and artificial intelligence to support economic development, humanitarian action, and peacebuilding activity. He completed the doctoral requirements for a Ph.D. in Data Intensive Science in Theoretical Particle Physics at Durham University in August 2021.
Dr. Aylett-Bullock’s doctoral thesis, entitled Colliding Worlds: Modern Computational Methods for Scattering Amplitude Calculations and Responding to Crisis Situations, explored nascent applications of Machine Learning (ML) to approximate complex functions describing the probability of particle collision processes (scattering amplitudes) to accelerate Monte Carlo particle collision simulations of processes relevant to Large Hadron Collider physics. Dr. Aylett-Bullock also discussed the application of analogous ML and modelling methodologies to support decision making in crisis situations. Specifically, he developed computer vision methods for refugee camp mapping and rapid flood assessment, and discussed various uses of ML and artificial intelligence to address the COVID pandemic by adapting particle collision simulations to agent-based modelling for epidemiology, and introduced an individual agent-based model of infectious disease transmission in the United Kingdom as well as in refugee and internally displaced person (IDP) settlements. As of November 2021, Dr. Aylett-Bullock transitioned to independent research advisory appointments with RiskEcon® Lab and Numerati® Partners from his previous roles as RiskEcon® Lab Industry Research Associate and Numerati® Partners Research Affiliate.
John Urschel, Ph.D.
Dr. John Urschel is an applied mathematician/theoretical computer scientist and a current member of the Institute for Advanced Study (IAS). He completed the doctoral requirements for a Ph.D. in Mathematics at Massachusetts Institute for Technology (MIT) in September 2021. Dr. Urschel was advised by Professor Michel Goemans, Professor of Mathematics.
His doctoral thesis, entitled Graphs, Principal Minors, and Eigenvalue Problems, considered four independent topics within linear algebra: determinantal point processes (DPPs), extremal problems in spectral graph theory, force-directed layouts, and eigenvalue algorithms. Upon completing his Ph.D., Dr. Urschel will be spending a year as a postdoctoral fellow at the Institute of Advanced Study, followed by another year as a Harvard Junior Fellow, before returning to MIT as an Assistant Professor of Mathematics.
Zhu Wang, Ph.D.
Dr. Zhu Wang completed the doctoral requirements for a Ph.D. in Computer Science from NYU Tandon School of Engineering in conjunction with Courant Institute of Mathematical Sciences NYU in May 2021. Dr. Wang was advised by Professor Ken Perlin, Professor of Computer Science. Courant Visiting Scholar and Numerati® artners Co-Managing Member Professor David K.A. Mordecai was a member of Zhu’s dissertation committee. Subsequent to completion of his Ph.D., Dr. Wang is serving as a Post-Doctoral Researcher at NYU Future Reality Lab.
Dr. Wang’s doctoral thesis, entitled Virtual Reality for Human Balance Assessment, presented research on VR-based balance assessment in standing and walking, utilizing emerging technologies (e.g., motion capture, pressure-sensing, and eye-tracking) to create a balance assessment platform with controlled functional contexts and multidimensional metrics to investigate postural control with different intensity levels of multi-sensory stimuli. Dr. Wang concluded that the VR-based balance assessment platform: (i) assists investigation of effects and responses by enabling various contexts and different balance strategies; (ii) enables rich data acquisition of body motion, underfoot pressure and visual attention signals, to measure balance performance; (iii) produces online feedback and spatial visualizations; (iv) facilitates accessibility with cost-effective ease of use and active feedback for clinical applications, e.g., rehabilitation, fall prevention and risk assessment.
Sebastian Herscher, Ph.D.
Dr. Sebastian Herscher completed the doctoral requirements for a Ph.D. in Computer Science from Courant Institute of Mathematical Sciences NYU in January 2020. He was advised by Professor Ken Perlin, Professor of Computer Science. Courant Visiting Scholar and Numerati® Partners Co-Managing Member Professor David K.A. Mordecai was a member of Sebastian’s dissertation committee. Dr. Herscher is currently an engineer at Apple.
Dr. Herscher’s doctoral thesis, entitled Scaling Multi-user Virtual and Augmented Reality, explored the current state of Virtual and Augmented Reality (XR) ecosystems, and presented a set of components, systems, and experiments that assist in the creation and scaling of multi-user virtual and augmented reality experiences for mass audiences, and outlined the strengths of techniques found in traditional co-located media for the design space of scaled co-located XR.
Connor DeFanti, Ph.D.
Dr. Connor DeFanti completed the doctoral requirements for a Ph.D. in Computer Science from Courant Institute of Mathematical Sciences NYU in May 2019. Dr. DeFanti was advised by Professor Ken Perlin, Professor of Computer Science. Numerati® Partners Co-Managing Member Professor David K.A. Mordecai was a member of Connor’s dissertation committee. Dr. DeFanti is currently a Technical Consultant at Parallux.
Dr. DeFanti’s doctoral thesis, entitled Co-Located Augmented and Virtual Reality Systems, presented a series of experiments that demonstrates social aspects of co-located Augmented and Virtual Reality (AVR), a set of solutions that overcome the difficulties often encountered in such experiences, and directions for future scalability using forthcoming AVR hardware and technologies.
About Numerati Partners LLC
Numerati® Partners LLC coordinates a data analytics and technology development ecosystem, with the mission of advancing and fostering the next generation of scalable data-intensive risk and liability management enterprises. The firm provides resources fundamental to advancing the development of nascent leading-edge inferential surveillance, monitoring, and predictive analytics technologies for deployment within the RiskTech domain: risk technologies associated with adaptive distributed, networked and embedded systems such as remote sensing, agent-oriented data analytics, computing and control systems. Numerati® Partners curates integrated RiskTech solutions as well as forensic and use-case applications in RiskTech sub-domains such as LitTech, RegTech, FinTech and InsurTech (litigation technology, regulation technology, financial technology and insurance technology).
