Applied Mathematics Association

Applying mathematical knowledge to real-world challenges

Student-run applied mathematics association at UPC BarcelonaTech. We solve complex quantitative, optimization, and modeling challenges for industry.

Technology & AI Healthcare & IoT Logistics & Supply Chain Energy & Climate Scientific Computing Finance & Risk
Commitment
200+
Hours / Project
Talent
UPC·FME
Mathematics & Data
Governance
Non-Profit
Student Association
Scope
Cross-Domain
All Industries
Applied Problem Solving

What We Solve Across Industries

Tailored consulting teams formed per challenge

Machine Learning & Anomaly Detection

Time-series forecasting, sensor anomaly detection, predictive classification, and deep learning architectures.

PyTorch Scikit-Learn Time-Series

Operations Research & Optimization

Combinatorial algorithms, scheduling, vehicle routing, supply chain logistics, and integer programming.

CVXPY Gurobi/SciPy Routing

Stochastic Modeling & Simulation

Statistical inference, Monte Carlo simulation, dynamical systems, risk modeling, and estimation under noise.

Dynamical Systems Monte Carlo Inference
Past Consulting Deliverables

Featured Project Case Studies

View All Projects & Case Studies →
Financial Time Series & Risk Inspiration-Q

Covariance Matrix Estimation in Financial Time Series

Benchmarked out-of-sample covariance forecasting methods for portfolio optimization. Evaluated sample covariance, adaptive EWMA, Ledoit-Wolf shrinkage, and random-matrix denoising across sliding windows.

Technologies & Tools
Python NumPy Riskfolio-Lib Scikit-Learn
Market Microstructure & Trading Iqana

Intraday Liquidity Modeling in Crypto-Assets

Analyzed high-frequency order book dynamics across crypto pairs (BTC/USDT, ETH/USDT). Built 1-minute aggregation pipelines and computed a composite Liquidity Score to evaluate TWAP and VWAP execution.

Technologies & Tools
Python Pandas Order Book Telemetry Microstructure Analytics
Healthcare IoT & Machine Learning YASYT Robotics

Prediction and Detection of Risk Events in Older Adults Using Multisensor Data

Developed risk detection models using multisensor IoT telemetry for YASYT Robotics. Augmented anonymized in-home alerts with targeted synthetic profiles to train models separating true emergencies from false alarms.

Technologies & Tools
Python Scikit-Learn IoT Multisensor Telemetry Synthetic Data Augmentation
End-to-End Rigor

Our Mathematical Consulting Methodology

Each engagement represents over 200 hours of dedicated research, formulation, and production validation.

1. Formulation

Problem Definition

Deconstruct business challenges into precise mathematical models.

2. Modeling

Theoretical Design

Design analytical and machine learning algorithms tailored to client data.

3. Validation

Stress Testing

Validate algorithms under real-world stress conditions and edge cases.

4. Deployment

Production Code

Deliver documented Python code, test suites, and technical reports.

Our Sponsors & Research Partners

Collaborating with industry pioneers across quantitative finance, AI, and healthcare technology

View All Partners
Academic Foundations:
UPC Logo UPC BarcelonaTech
FME Logo Facultat de Matemàtiques i Estadística (FME)

Have a Mathematical Challenge?

Partner with dedicated UPC student teams for your analytical, optimization, and modeling challenges.