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Roberto Mota

@robertomota1

Message

I build time-series, causal-analysis, and machine-learning systems for risk detection.

Mexico

Message

I've built quantitative research and forecasting systems at HDI Capital, using causal tests and synthetic data to filter spurious algorithmic trading models and detect high-volatility market periods.

My research spans nonlinear time-series relationships and brain electrical activity, while at BENEBION I automated USDA orchard-ID validation from roughly 90 minutes to under 2 minutes and analyzed radiation-dose tolerances.

Experience

Work history, roles, and key accomplishments

Current

Manager of Data Analytics

Current

Benebion

May 2026 - Present (4 months)

Analyzed permissible radiation dose bounds for fruit and segmented delivered dose by product density categories. Automated a USDA validation workflow, reducing processing time from 90 minutes to under 2 minutes.

Automation Regression Modeling Financial Forecasting SQL Server Web Scraping Clustering Agentic AI

Posdoctoral Researcher

Universita degli Studi di Palermo

Sep 2024 - Apr 2026 (1 year 7 months)

I was a Posdoctoral Researcher at UNIPA where researched correlations in brain electrical activity (EEG). I found 3-body interactions in the brain when people do arithmetical subtractions as compared to resting. The results were presented in 2 international congresses.

Correlation Matrices Information Theory EEG Recordings Hypothesis Testing Fourier Analysis Signal Processing

Quantitative Analyst

HDI Capital LLC

Jan 2021 - Dec 2023 (2 years 11 months)

Identified inconsistencies in statistical models and discovered early warning signals of market risk. Conducted causal analysis tests with synthetic data to verify assumptions of algorithmic trading models, developed a time series forecasting system for rapid detection of high volatility epochs, and performed refactoring and code reviews.

Python NumPy Pandas scikit learn PyTorch Time Series Analysis Statistical Modeling Machine Learning Refactoring Code Review

Education

Degrees, certifications, and relevant coursework

Universidad Nacional Autonoma de Mexico

Doctor of Philosophy, Physics

2015 - 2020

Doctor of Philosophy in Physics from the Universidad Nacional Autonoma de Mexico from 2015 to 2020. Used causal discovery tools to measure the predictability of future price jumps in the Bitcoin market, finding it practically zero.

Universidad Nacional Autonoma de Mexico

Master of Science, Physics

2012 - 2015

Master of Science in Physics from the Universidad Nacional Autonoma de Mexico from 2012 to 2015. Developed an agent-based model that reproduces statistical properties observed in financial time series.