The Team
Experts trusted with
consequential decisions
Our team combines deep academic training, practical delivery experience, and cross-industry judgment so clients get work that is rigorous, practical, and ready to stand up under scrutiny.
Rigor, judgment, and delivery discipline in one team
Our experts blend econometric science, behavioral research, engineering, and domain expertise to deliver answers that are explainable, defensible, and usable by the teams making the decision.
PhD-Level Experts
Years in Business
Industries Served
Leadership
Matthew Harding
CEO and Chief Data Scientist
Dr. Matthew Harding is an Econometrician and Data Scientist who develops techniques at the intersection of machine learning and econometrics to answer Big Data questions related to individual consumption and investment decisions in areas such as energy, water, health and consumer finance. He has extensive experience in designing and evaluating large-scale field experiments in collaboration with industry leaders to measure the individual and social consequences of individual or corporate choices and the extent to which Big Data can be used to improve choices and lead to more accurate and targeted programs and products. Dr. Harding has a wealth of applied research experience as the Founding Director of the Duke - UNC USDA Center for Behavioral Economics and Healthy Food Choice Research and the Duke Energy Data Analytics Lab. He has also worked as an expert consultant for the Department of Justice, World Bank, Apple Inc., Franklin Energy and the US Commodity Futures Trading Commission. He is also currently a Full Professor of Economics and Statistics at the University of California, Irvine. Dr. Harding held previous faculty positions at Duke University and Stanford University in the Department of Economics. He received his Ph.D. in Economics from the Massachusetts Institute of Technology, his M.Phil. in Economics from the University of Oxford, and his B.A. in Economics and Philosophy from the University College London.
Catalin Tudor
Data Scientist, AI Team Lead
Catalin Tudor is a data scientist specializing in artificial intelligence. He completed his Master's in Artificial Intelligence at Loughborough University (UK) and received his Bachelor's in Computer Science and Artificial Intelligence from The University of Birmingham (UK). He is an expert in Python and Java. He has extensive experience in machine learning, and also conducted research in the biomedical and public health fields.
Research Staff
Parush Arora
Senior Economist
Parush Arora is an Assistant Professor of Economics at Ashoka University. His primary areas of specialization are econometrics, machine learning, and Bayesian inference. His recent work includes introducing regularization through Lasso, Ridge, and entropy penalties in density forecast aggregation under the Bayesian framework. He received his Ph.D. in Economics from the University of California, Irvine.
Mateo Bristow
QA Analyst
Mateo Bristow studied Modern Languages and Japanese at the University of Central Arkansas and works as a QA Analyst specializing in AI systems and natural language interfaces. Their work focuses on evaluating and improving the performance, accuracy, and usability of language-driven technologies. Mateo has a strong interest in the Japanese language and enjoys exploring linguistic nuance across cultures. Outside of work, Mateo enjoys gardening, gaming, listening to music, spending time with their friends, family, and their cats, and learning new things.
Evan Bruno
Data Analyst
Evan is a data scientist with a passion for uncovering meaningful insights through statistical analysis and innovative modeling. He has experience using Python, SQL, and R across a wide range of tasks, including machine learning, web scraping, and econometrics. He holds a B.A. in Quantitative Economics and is currently pursuing a Master’s in Applied Economics at the University of San Francisco. In his free time, Evan builds machine learning models for sports betting using time series approaches. He also explores directional algorithmic trading and develops options strategies that leverage spread techniques, Monte Carlo simulations, and the Black-Scholes model for pricing and risk analysis.
Jervin Geronimo
Operations and Product Manager
Jervin Geronimo serves as the Operations Manager at EcoMetricx, where he collaborates closely with the CEO to drive business development initiatives and oversee the strategic expansion of the company’s Philippine branch. With a Bachelor of Science in Kinesiology from California State University and an Associate of Science in Social and Behavioral Sciences, Jervin brings a multidisciplinary perspective to operational leadership. Prior to joining EcoMetricx, Jervin managed a team of nine employees in a previous role as a restaurant manager, honing his skills in team leadership and organizational management. His foundational business acumen was further developed through active involvement in his family’s entrepreneurial ventures, providing him with practical insights into business operations. Jervin specializes in client relationship management, strategic outreach to prospective clients, and fostering internal cohesion across teams. His approach emphasizes active listening and empathy, ensuring that both client and team needs are effectively addressed. Fluent in both Filipino and English, he adeptly bridges cultural and communication gaps, facilitating seamless collaboration in diverse environments. Outside of his professional endeavors, Jervin maintains a strong interest in the arts and personal wellness. He engages in activities such as painting, cooking, ceramics, and gardening, and is committed to a balanced lifestyle that includes regular fitness and nutritional routines.
Vincent Itucal
Data Scientist
Vincent Itucal is a professional with a background in Physics, Data Science, Data Engineering, and Software Engineering. He holds a Master of Science in Data Science from the Asian Institute of Management and a Bachelor of Science in Applied Physics from the University of the Philippines Manila. His areas of expertise include Data Mining and Wrangling, Machine Learning, Data Engineering, Natural Language Processing, Network Science, and Big Data and Cloud Computing. He has worked on Data Platforms, Trading Systems, Pension Systems, and Cryptocurrencies.
Nick Liotti
Statistician
Nick Liotti is a data analyst and statistician experienced using R, Python, and SQL for a wide variety of tasks including machine learning, Bayesian analysis, time series analysis, and A/B testing. He received his B.S. is Statistics from the University of Illinois, Urbana-Champaign, where he also played trombone in the marching band.
AJ Sager
Business Analyst
AJ Sager is a business analyst with a strong foundation in applied econometrics, predictive modeling, and financial analysis. He holds a Master of Science in Business Analytics from the University of California, Irvine, where he graduated with honors, and a Bachelor’s degree in Quantitative Economics, also from UC Irvine. AJ is proficient in Python, R, SQL, with experience building forecasting models and machine learning pipelines in client-facing environments. His work spans financial planning, housing market forecasting, and sports analytics. He is particularly skilled at producing clear, well-structured written reports and presentations that translate complex quantitative findings into concise, defensible insights for stakeholders. Outside of work, AJ is a former Division I track and cross-country athlete, an experience that informs his disciplined, team-oriented approach to problem solving.
Natalie Salcedo
AI Psychology Expert and Marketing Lead
Natalie Salcedo is an AI psychologist and marketing strategist who specializes in translating human behavior, cognitive performance, and decision-making science into practical, scalable AI and customer-experience systems. With an M.S. in Sports Psychology, she blends behavioral design with data-driven insight to craft messaging, workflows, and product interactions that feel intuitive, personal, and grounded in how people actually think. Natalie played a central role in growing a small business from a local gym into a vertically integrated, multi-revenue-stream brand - driving more than 600% revenue growth in just a few years. She has led full-stack marketing and operations across digital campaigns, brand positioning, CRM optimization, customer lifecycle design, and community-driven engagement. Her approach balances analytical rigor with creative execution, building marketing and AI-powered systems that consistently boost acquisition, retention, and lifetime value. As a high-level professional athlete - competing in ONE Championship and holding a Brazilian jiu-jitsu black belt - she brings the discipline, resilience, and pattern-recognition of elite performance into her leadership style. This background shapes how she approaches product ideation, team development, and behavior-focused AI, giving her a unique edge in designing systems and strategies that understand and influence real human motivation.
Mik Iris Samson
Data Scientist
Mik Iris Samson is a Data Scientist who authored academic studies on public safety using Natural Language Processing, Spatial Data Analysis, Hydrologic-Hydraulic modeling, and Machine Learning. He holds a Bachelor’s degree in Computer Science from Saint Louis University Philippines, with a foundation in Data Science, Data Mining, and Artificial Intelligence. Furthermore, he brings practical experience in Quality Assurance and Backend Web System Development, and is proficient in Python, SQL, Java, and JavaScript. He is committed to developing efficient, research-driven solutions that leverage AI models. Behind the curtains, he closely follows the music scene, is a frequent swimmer, and loves tinkering with memory architectures for Large Language Models.
Liam White
Account Executive
Liam White is an NYC-based go-to-market leader with 5 years of experience in AI and SaaS sales, with a track record of building pipelines, running full-cycle deals, and operating key GTM motions end-to-end as an Account Executive. He combines structured sales execution with modern persuasion and communication frameworks, drawing on training from mentors Oren Klaff and Jeremy Miner to sharpen positioning, discovery, and closing in competitive cycles. A graduate of the University of Alabama, Liam brings an operator’s mindset to revenue, tight feedback loops across product and marketing, disciplined qualification, and repeatable process that turns early traction into scalable growth. Outside of work Liam is into fitness, being present with friends and family and traveling around the world and his mindset to life is anything you are attracting in your life is based on the energy you put out in the world.
Expert Affiliates
Kostas Alexandridis
Expert Affiliate
With over 20 years of experiencein research and academia, Kostas is currently serving as a GIS Analyst/ SpatialComplex Systems Scientist at the County of Orange, OC Survey GeospatialServices in Santa Ana, California, where he applies skills and knowledge inspatial data science, advanced geoAI, machine learning, programming, modelingand simulation for Digital Twins, and GISci to support digital transformationwork at the County of Orange. He holds a PhD in Natural Resource Policy fromPurdue University, and is also a Certified Geographic Information SystemsProfessional (GISP). As a co-chair of the Academia and Research Working Group at the Digital TwinConsortium, Kostas collaborates with leading experts and organizations indeveloping and advancing digital twin technologies and applications. He hasserved over the years in multiple University faculty and government positions.Kostas also serves as an advisory board member for the Big Data ExecutiveCertificate Program at California State University - East Bay, as a member ofIEEE and the IEEE Computational Intelligent Society, URISA, a member of theIUCN Committee on Ecosystem Management, and as a member of numerous otherprofessional organizations. His mission and vision is to contribute to thescientific and social understanding of complex spatial systems and theirimplications for natural resource management, policy, and decision making.
Giacomo De Giorgi
Expert Affiliate
Dr. Giacomo De Giorgi is an Econometrician who works on several topics related to household's behavior under uncertainty, including insurance, credit, mobility, and housing. He brings with him a wealth of experience as a senior economist for the Federal Reserve Bank of New York and as an expert consultant for the World Bank Group and Croatia, Mexico, Tunisia, Kyrgyzstan and Kosovo Government. Dr. De Giorgi also has an extensive experience in conducting impact evaluations for the Lisbon Meeting and the International Food Policy Research Institute. Dr. De Giorgi is currently the Full Professor of Economics at the University of Geneva and an Adjunct Professor at the Barcelona Graduate School of Economics. Dr. De Giorgi held previous faculty positions at the Barcelona Graduate School of Economics, ICREA/MOVE, the Universitat Autonoma de Barcelona, Columbia University and Stanford University in the Department of Economics. He received his Ph.D. in Economics from the University College London, his M.Sc. in Economics from the University of Warwick, and his B.A. in Economics from Bocconi University.
Xiaosi Gu
Expert Affiliate
Dr. Xiaosi Gu is Professor of Psychiatry and Biomedical Informatics & Data Science, and Director of the Computational Psychiatry Unit at Yale School of Medicine. She received her Ph.D. in Neuroscience from Icahn School of Medicine at Mount Sinai, followed by postdoctoral training at the Wellcome Trust Centre for Neuroimaging at University College London. A recipient of the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE), Dr. Gu is internationally recognized for her research in the field of computational psychiatry, which seeks to understand how humans form beliefs and make decisions and how these processes break down in psychiatric disorders such as addiction, depression, and autism. Continuously funded by NIH and private foundations, her work integrates computational modeling, cognitive neuroscience, neuroimaging, and human intracranial recording methods and frameworks. Dr. Gu has published in leading scientific journals such as Nature Mental Health, Nature Human Behavior, JAMA Psychiatry, PNAS, amongst many others. Dr. Gu is a Director for the Society for Computational Psychiatry, Editor-in-Chief of the journal Computational Psychiatry, a Reviewing Editor at eLife, and has served as a reviewer for numerous funding agencies including the NIMH, NIDA, NSF, the Wellcome Trust, Medical Research Council (UK), and DFG (Germany). Outside the lab, Dr. Gu is a dedicated advocate for mental health awareness, regularly speaking at public forums including a TEDx talk in 2018.
Ming Hsu
Expert Affiliate
Ming Hsu is William Halford Jr. Professor at the University of California, Berkeley, where he holds appointments in the Haas School of Business and the Helen Wills Neuroscience Institute. Prof. Hsu is a pioneer in application of neuroscientific and computational methods to improve managers' abilities to predict and understand customers' underlying thoughts, feelings, and intentions. His work has been widely published in top scientific journals such as Science and has been widely covered in the general and business press. He received his Ph.D. in Economics from California Institute of Technology and his B.A. in Political Science from the University of Arizona.
Katie Kalvoda
Expert Affiliate
Katie Nguyen Kalvoda is the Founder of Advance OC, one of the nation’s leaders in the new field of equity mapping. Advance OC has a mission to close social and health disparities in Orange County and beyond. We specialize in giving visibility to marginalized and vulnerable communities by working on public-private initiatives that center data-centric, equity-oriented strategies. As a social entrepreneur, impact investor and philanthropist, Katie catalyzes change by breaking down silos and bridging systems to pool data, dollars, and action. Katie is the chief architect of the Orange County Equity Map, an award-winning data intelligence tool that accurately spotlights social and health disparities in neighborhoods across Orange County. Katie is regarded as a thought leader in the field of health equity, public policy, and data science. She has been interviewed and quoted in national publications including the Chronicle of Philanthropy, the Philadelphia Enquirer, and Governing magazine. Along with her work at Advance OC, Katie is also a Board Member of the Weingart Foundation, Mission Hospital Foundation, the Sisters of St Joseph Healthcare Foundation where she serves on the Finance and Investment Committee leading strategies to optimize impact at each of the organizations. In addition, Katie is an appointed Board Member of the California Health Facilities Financing Authority by the Speaker of the CA Assembly, to oversee publicly financed grants and loans to nonprofit hospitals and community clinics across the state of California. Her work on the CHFFA board has allowed her to have a bird’s eye view of the challenges of equitable access to care across all 58 counties in California and be on the front lines of issues ranging from healthcare workforce development to mental health. Katie studied at UC Berkeley and MIT in the fields of Economics and Artificial Intelligence.
Andrei Kirilenko
Expert Affiliate
Andrei Kirilenko is a Professor of Finance at the Cambridge Judge Business School and the Founding Director of the Cambridge Centre for Finance, Technology and Regulation. Prior to joining Cambridge, he was a faculty member at Imperial and MIT. Before MIT, Kirilenko served as chief economist of the U.S. Commodity Futures Trading Commission (CFTC) where he used modern analytical tools and methods to design and enforce an effective regulatory regime of financial markets post-global financial crisis. For this work Kirilenko was awarded the CFTC Chairman's Award for Excellence (highest honor). Professor Kirilenko's scholarly work has appeared in top peer-reviewed journals and received multiple best paper awards. Kirilenko received his PhD in Economics from the University of Pennsylvania with a specialization in Finance from the Wharton School.
Lisa Magnuson
Expert Affiliate
Lisa Magnuson is Fractional CMO at Mag5 Advisors, a company providing fractional marketing leadership focused on strategic brand, integrated marketing and consumer education and engagement for the clean tech, energy and technology industries. Her previous experience includes senior marketing roles at Bloom Energy, Pacific Gas and Electric Company, and Silver Spring Networks, business, marketing, and service development roles in the Americas, Asia & Europe at Cable & Wireless, Binariang Bhd, and Telewest plc. At EcoMetricx, Lisa provides consumer-focused specialism across all the companies and sectors we serve. She holds a BA in Political Science from Duke University.
Matthew Pendleton
Expert Affiliate
Matthew Pendleton is a practicing California Professional Geologist (PG), Certified Hydrogeologist (CHg), Certified Professional in Erosion and Sediment Control (CPESC), Qualified Stormwater Practitioner and Developer (QSP/QSD), and Certified Trainer of Record (TOR). He has a deep knowledge of California environmental regulations applicable to surface water compliance, and groundwater, soil, soil vapor, and indoor air investigation. Matthew is the Vice President of the California Groundwater Resources Association, Southern California Branch. Matthew brings with him a wealth of experience in the water industry as the Contruction Stormwater Specialist, Project Manager and Project Geologist in EKI Environment & Water Inc, Associate Geologist in Rincon Consultants Inc and the Staff Geologist in Earth Consultants International Inc. He is currently pursuing his Ph.D. in Hydrogeology at the University of Waterloo. He received his M.S. in Geology from the University of Idaho, and his B.S. in Geology from the University of Minnesota.
Aaron Terrazas
Expert Affiliate
Aaron Terrazas is an applied economist with over a decade of cross-industry experience in both incumbent and startup technology companies, where he advises senior executives on macroeconomic trends and risks, data strategy and product development, and economic thought leadership. He has previously served as Chief Economist at Glassdoor (2022-2024), Director of Economic Research at Convoy (2019-2022), and in various economist roles at Zillow (2014-2019). He started his career as an economist in the U.S. Treasury Department’s Office of Economic Policy (2012-13). Terrazas was educated at Georgetown University, Sciences-Po (Paris), and Johns Hopkins University.
Ciprian-Octavian Truică
Expert Affiliate
My name is Ciprian-Octavian Truică, and I am currently an Assistant Professor at the Computer Science and Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest (formally named University Politehnica of Bucharest, name changed in 2023). I teach and do research in the fields of Deep Learning, Machine Learning, Big Data Analytics, Data Mining, Graph Mining, Text Mining, and Data Management. I have been a principal investigator and researcher on multiple academic and research projects. I have applied my knowledge and skill in developing virtual AI-based conversation agents for Soft Tehnica, integrating Big Data Technologies for ReMoni Denmark, developing time series analysis deep learning architectures for ACOWA Instruments, etc. I also teach courses and seminaries on Data Management and Data Mining, focusing on the latest Relational Database systems (e.g., Oracle, MS SQL, PostgreSQL, etc.), NoSQL technologies (e.g., MongoDB, Cassandra, Redis, etc.), Big Data Technologies (Hadoop, HDFS, Spark, Tex, etc.), and Data Mining supervised and unsupervised algorithms. I also have prepared workshops where I present data processing languages (e.g., SQL, PL/SQL, T-SQL, PL/pgSQL, etc.), Data Science Python libraries (e.g., Scikit-learn, Pandas, Numpy, NetworkX, Spark MLlib, etc.), and Deep Learning Python libraries (e.g., TensorFlow, Keras, etc.). I have used all these technologies in the industrial and academic projects that I have been involved with.
Martin Wagner
Expert Affiliate
Dr. Martin Wagner is an Econometrician and Economist who develops new econometric techniques for a wide range of topics such as portfolio management and optimization, capital stock estimation, the environment-growth nexus and economic convergence. He has significant experience in applied economic analysis and policy making, having served as the Chief Economist of the Central Bank of Slovenia. During his tenure, he is responsible for the economic analysis, research, financial stability and macroprudential policy, financial statistics, and international relations. Dr. Wagner continues to work with the Central Bank of Slovenia as Chief Economic Adviser to the Governor and serves as Senior Fellow at the Institute for Advanced Studies in Vienna as well as Visiting Professor at the University of Ljubljana. He has successfully managed applied and theory-oriented projects funded by both public institutions and private companies. Some past consulting projects include the European Central Bank, the Austrian National Bank, the Bank of Slovenia and OLZ and Partners Asset and Liability Management. He is also currently the Vice Dean and Full Professor for Economics - heading the Quantitative Economics Division - at the University of Klagenfurt in Austria. Dr. Wagner held previous faculty positions as the Full Professor of Econometrics and Statistics at TU Dortmund University in Germany and Full Professor of Empirical Economics and Applied Econometrics at the University of Graz in Austria. Dr. Wagner received his PhD-equivalent (Dr.techn.) degree with a thesis in econometric theory from the Technical University of Vienna, his “Habilitation” in Economics from the University of Bern in Switzerland, his MSc-equivalent (Dipl.Ing.) degree in Applied Mathematics from the Technical University of Vienna, and his Diploma degree in Economics from the Institute for Advanced Studies in Vienna.
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