Education


Università della Svizzera italiana

Doctor of Philosophy - PhD Economics (Finance)

Current Research Topics: Carbon Tokenization, Monetary Networks

Courses in: Corporate Finance, Asset Pricing, Household Finance, and Econometrics


University of Toronto

Master of Arts - MA Economics

Term Papers:

  • "Cryptocurrency Pricing Drivers: Cost of Production Versus Demand Factors"

  • "Use of Machine Learning to Detect Market Manipulation"

Completed Master's degree in Economics with courses focusing on financial economics, international economics, econometrics and machine learning. Developed skills in econometric modelling, machine learning, and network models for economic and finance applications.

PhD level courses in: Economic Applications of Machine Learning, Financial Economics, International Macroeconomics, Networks in Trade and Macroeconomics, and Topics in Risk Management.

University of Lethbridge

Honours Bachelor of Arts - Hons. BA, Economics

Undergraduate thesis: "Monetary Policy, Private Debt, and Economic Stability in Canada"
Thesis Supervisors: Dr. Alexander Darku and Dr. Duane Rockerbie

2022 - Current

Lugano, Switzerland

2020-2021

Toronto, Canada



University of Lethbridge/Dhillon School of Business

Bachelor of Management - BMgt, Finance

Blended undergraduate background in economics, finance, accounting, and mathematics.

2015-2020

Lethbridge, Canada

2015-2020

Lethbridge, Canada

Research Experience


Hochschule Fulda/Fulda University of Applied Sciences

Research Assistant

Research assistant on ZEVEDI the project group, Tokenizing Sustainability - Carbon Credits, Accountability, and ESG in Supply Chains (TOSCA). Responsible for coordinating regular meetings among the research assistants in subgroup A. Currently working on two articles for publication in a collective volume on tokenizing the voluntary carbon market.

Workshop presentations:
"A Brief Overview of the State of Carbon Tokeninzation", Hochschule Fulda. Fulda, Germany. December 2023
"Tokenizing the Voluntary Carbon Credit Market: Harnessing Opportunities for Sustainable Development", Frankfurt School of Finance. Frankfurt, Germany. March 2024


Bank for International Settlements

Associate

Worked at the Bank for International Settlements in their Graduate Program under the Monetary and Economic Department. Close work and contact with the Irving Fisher Committee on Central Banking Statistics and the Basel Committee on Banking Supervision. Contributed to the data needs of the Basel III Monitoring Report 2022, IFC Bulletin No. 56, and IFC Report No. 14. Also worked on the development and standardization of the Basel III public dashboards focusing on data analysis for the Counterpart Credit Risk dashboard and the Credit Valuation Adjustments Risk dashboard. Conducted a full survey workflow analysis and identified areas for future automation, was involved with the development of automated data quality checks.

Statistics Canada

Summer Student

Experience working in the International Accounts and Trade Division. Worked with transactional level customs data specializing in the treatment of gold in the Canadian national and international accounts. Conducted an analysis of gold imported and exported in relation to refining operations, distinguishing it from gold imported and exported for financial and retail purposes.

2024 - Current

Fulda, Germany

2021-2022

Basel, Switzerland


2021

Ottawa, Canada

Teaching Experience


ReFi Talents

Mentor

Mentor for the ReFi Talents program offered by the Frankfurt School Blockchain Center. As part of this role, I facilitate breakout sessions during bi-weekly program sessions. Additionally, I provide support and resources to mentees with the objective of deepening their understanding of regenerative finance.


University of Toronto

Teaching Assistant

Teaching assistant for undergraduate macroeconomics. Tasks involved responding to student email questions, holding weekly office hours and grading exams


University of Lethbridge

Tutor

Tutor for The University of Lethbridge Accommodated Learning Center. Tutored students requiring learning accommodations or special assistance in economics, math, statistics, and finance courses.

2024 - Current

Online

2020-2021

Toronto, Canada

2019-2020

Lethbridge, Canada

Publications


Sustainable finance data for central banks: a new Irving Fisher Committee survey

This policy brief sheds light on sustainable finance data needs, availability and gaps, leveraging on a survey conducted among the members of the Irving Fisher Committee. A first key insight is that environmental, social and governance (ESG) data are in growing demand from central banks to support their policies, particularly micro- and macroprudential supervision, asset and reserve management activities, the conduct of monetary policy and financial inclusion measures, as well as specific in-house risk assessment and statistical work. Second, central banks are making significant contributions to setting up statistical frameworks for sustainable finance; for instance, they have been instrumental in facilitating the development of green taxonomies. Third, being closely associated with other key stakeholders involved in climate-related data work has been an important element to facilitate the agenda. Fourth, and in a somewhat different way than in other areas, there is an abundance of data to be considered, not least with the growing role played by the large number of data providers located outside the traditional perimeter of official statistics. These various insights have helped to define three main recommendations for guiding central banks’ work on sustainable finance statistics.


Sustainable finance statistics: Progress, challenges and leveraging digital tools

Sustainable finance has attracted increased attention in recent years, and, in turn, the availability of relevant data has become a primary concern. What is currently unclear is how to set up adequate statistical frameworks, to address the associated challenges while benefitting from emerging new opportunities. Given their dual role as both compilers and users of official statistics, central banks are particularly well placed to contribute to these topics. Their experience suggests that making further progress calls for, first, understanding the importance of environmental, social and governance (ESG) issues for the conduct of economic and financial public policies and, second, carefully taking stock of the important statistical compilation initiatives already in train. The third step is to identify sustainable finance information needs and address the related data gaps. Lastly, there is value in leveraging the various opportunities provided by alternative data sources and technology innovation, including through the offering of new digital tools. This paper analyses central ESG issues.

Journal of Digital Banking

January 2023

Other Education


Vanderbilt University

Prompt Engineering Specialization

Completed the three course specialization in prompt engineering from Vanderbilt University. Courses include:

  • Prompt Engineering for ChatGPT

  • ChatGPT Advanced Data Analysis

  • Trustworthy Generative AI

Gained knowledge on the capabilities and limitations of LLM and generative AI models. Strong understanding of ethical considerations and responsible use of generative AI, especially in research.


The Linux Foundation

Exploring GraphQL: A Query Language for APIs

Completed introductory course on GraphQL as a query language. Understanding of differences between GraphQl and traditional APIs and how to implement queries in GraphQL.


University of Zurich

Climate Change and Finance: Metrics to Assess Risks and Opportunities

Skills learned include: understanding climate-related financial risk, measuring VaR and Expected Shortfall stemming from climate risks, simulating losses on bond portfolios, understanding emissions measures, DICE model, equity valuation, and computing carbon footprint and portolfio emissions metrics.

2024

Coursera

Credential

2024

EdE

Credential

2024

Zurich, Switzerland


Santa Fe Institute

Nonlinear Dynamics: Mathematical and Computational Approaches

Skills learned include: maps and difference equations, bifurcation diagrams, flows, state space, stable and unstable manifolds, attractors, Lyapunov exponents, periodic orbits, fractals and chaos, nonlinear time-series analysis, delay-coordinate embedding, computing fractal dimensions.

2022

Complexity Explorer

Credential


Santa Fe Institute

Introduction to Complexity

Introduction to complexity science and its possible applications. Topics covered include: dynamics and chaos, fractals, information, genetic algorithms, cellular automata, networks, and scaling.

2022

Complexity Explorer

Credential