Professor of Finance & Member, Interdisciplinary Neuroscience Program

Computational Finance, Operational Research, and Interdisciplinary Neuroscience

Computational methods in financial derivatives, multiobjective optimization modeling, and optimization for translational neuroscience applied to prosocial housing outcomes

The American Association of University Professors

AAUP Lifetime Achievement Award, URI Chapter: Helping to shape American higher education by developing the standards and principles that maintain quality in education and academic freedom

Interdisciplinary Neuroscience

Computational and neuroethical research using multiobjective assignment optimization of rodent models to inform prosocial, stress-reducing urban housing design.

London Stock Exchange Group (LSEG)

Process intra-daily municipal bond trades using machine-learning to chart market and state-wide risk-adjusted yield curves

The Association of European Operational Research Societies

EURO (Switzerland): Co-chair of the Working Group on Operations Research for Development (ORD)

Quantilytix AI for FinTech: South Africa

Advisory Board: South African FinTech (Durban, SA) for Digital Business Solutions, AI education, and SME Development

RiskGroupAUTH, Greece

Greece: Interdisciplinary research in risk assessment and management for modern energy systems

Research & Pedagogy Highlights

2025 - 2026 Scholarly Contributions

Dash, Miriam; Kajiji, Nina; and Dash, Gordon H. and Donaldson, S. Tiffany, Latent Network Activation Profiles Following Acute Stress in a Rodent Model: An Integrated Multivariate c-Fos Analysis (April 15, 2026). Available at SSRN: https://ssrn.com/abstract=7281341 or http://dx.doi.org/10.2139/ssrn.7281341
Kajiji, Nina and Dash, Miriam and Clarkin, Christine and Dash, Gordon H., Modeling Disease Comorbidity Among Medicare Beneficiaries Through Social Determinants of Health: Advances in Multi-Target Machine Learning (January 24, 2026). Available at SSRN: https://ssrn.com/abstract=6361378 or http://dx.doi.org/10.2139/ssrn.6361378
Dash G, Kajiji N, Vonella D, Zhou H. Complexity-Aware Vector-Valued Machine Learning of State-Level Bond Returns: Evidence on South African Trade Spillovers Under SALT and OBBBA. Econometrics. 2026; 14(1):1. https://doi.org/10.3390/econometrics14010001
Dash G, Kajiji N, Kamdem B. G. Asset Returns: Reimagining Generative ESG Indexes and Market Interconnectedness. Journal of Risk and Financial Management. 2024; 17(10):463. https://doi.org/10.3390/jrfm17100463
Dash, G. et. al.; A Theory for Prosocial Public-Housing Assignment: Finding Utility in Translational Neuroscience from a Rodent Model, (2026), The Business and Management Review (Conference Proceedings), V 17, N 1 DOI: https://doi.org/10.24052/CBER/ICBED-APRIL-2026/ART-07
Dash G, Kajiji N, Kamdem B. G. Signal Separation and Multivariate Return Predictability on the Johannesburg Stock Exchange, 48^th Annual Meeting, National Association of Business, Economics, and Technology, State College, PA., October 23-24, 2025.

Pedagogy and Embedded Computation