Cameron

- Developed sophisticated, high-performance statistical models on 18tb of data to accurately infer consumer willingness to pay for news content, enabling data-driven pricing strategies. - Contributed computational infrastructure to estimate complex bid functions for auction-based bridge construction, resulting in a publication to a top economics journal (non-author, research assistance only). - Optimized probabilistic model for insurance market analysis, increasing computational performance by 3-4x.

- Core developer on Turing.jl, an open-source probabilistic programming language with 2k GitHub stars. - Built high-performance implementations of Metropolis-Hastings algorithms. - Lead the development of significant refactorings of the end-user interface of Turing.jl.

- Wrote the dissertation "Parameter Uncertainty, Cashflow Betas, and Earnings Announcement Premia" applying Bayesian methods to determine how investors use firm fundamentals to learn about macroeconomic conditions. - Received my PhD in finance in four years. - My research focused on asset pricing, market microstructure, algorithmic trading, and models of information flows. - Developed a novel, Bayesian model evaluating the role of fundamental firm performance and how investors can use that information to understand the macroeconomy. - Implemented a suite of high-performance computing tools custom designed for my dissertation, evaluated on Stanford's Sherlock cluster. - Designed a theoretical model of asymmetric information in commodities futures markets. - Produced a high-performance data pipeline for cleaning and performing distributed inference on five terabytes of supermarket point-of-sale data.

- Transitioned to the software team after the company found out I had been writing VBA macros to automate my job, slashing my billable hours nearly in half. - Wrote custom software in C# for our firm to use per client, reducing billable hours for current and future engagements by 10-30%. - Saved the firm 10-25% in billable hours per engagement. - Designed and implemented an anomaly detection system to flag portfolios with suspicious investment activity.

In this position, I was responsible for assisting with the completion of periodic verifications of a client’s capacity to claim compliance with the Global Investment Performance Standards (GIPS®), in addition to performing services related to ACA's bevy of investment performance related services. - Assisted in conducting periodic verifications to ensure client compliance with the Global Investment Performance Standards (GIPS®). - Collaborated with team members to deliver a comprehensive range of investment performance related services. - Analyzed client data and generated reports to support compliance verification processes. - Communicated effectively with clients to gather necessary information and provide updates on project progress. Demonstrated strong attention to detail and problem-solving skills while working on complex performance analysis tasks

I wrote for and edit a monthly financial newspaper which explores the financial markets.

I served as vice chair on a committee that was responsible for the collection and budgeting of $4.6 million in student fees.

I was responsible for running weekly meetings of a committee that allocated approximately $100,000 to various clubs at the university. Meeting content included from hearing funding requests and changing bylaws. Additionally, I presented to the club representative to ensure that funding requests were accurate, timely, and helpful.

I worked with seed-stage companies to develop pitches to investors, consulted with clients about accounting systems, and assisted with foundation events.

At Mystere, I completed a three month intensive internship in the Lighting department. Specifically, I ran spotlights for two shows a night, five days a week in the latter half of the day, while in the earlier half of the day I accomplished maintenance tasks. This included checking all fixtures to ensure they were working, fixing the ones that weren't, organizing fixture inventory, cleaning the inventory, and repairing aging equipment.