Talks

2026

1. Scientific Machine Learning: Building Safe and Reliable Models for Process Applications Upcoming

   Invited talk, AIChE Annual Meeting, Early Career Community and Women in Chemical Engineering session: Statistics and Analysis: Perspectives from Academia and Industry · Minneapolis, Minnesota, United States

   • Hybrid modeling
   • Machine learning

2025

1. Data Science in Chemical Industry Applications

   Guest lecture, NRT: Computing and Data Science Training for Materials Innovation, Discovery, and Analytics · University of Delaware, Delaware, United States

   • AI in industry
   • Machine learning

2024

1. Automated Synthesis of Hybrid Models for Ionic Separations

   Conference talk, 2024 AIChE Annual Meeting · Orlando, Florida, United States

   • Hybrid modeling
   • Ionic separations

2. A practitioner's Guide to Machine Learning Applications in Chemical Engineering

   Conference talk, AIChE Spring Meeting · New Orleans, Louisiana, United States

   • Machine learning
   • AI in industry

2023

1. Three-body problem: Small Data, Interpretation and Extrapolation in ML

   Conference talk, Foundations of Process-product Analytics and Machine Learning · UC Davis, California, United States

   • Machine learning

2. Feature Embedding of Molecular Dynamics-Based Descriptors for Modeling Electrochemical Separation Processes

   Conference presentation, 33rd European Symposium on Computer Aided Process Engineering (ESCAPE33) · Athens, Greece

   • Ionic separations
   • Machine learning

2022

1. Process Monitoring Optimization Via Unsupervised Clustering Metrics

   Conference presentation, 2022 AIChE Annual Meeting · Phoenix, Arizona, United States

   • Process monitoring
   • Machine learning

2. Bridging the length scales in ionic separations via data-driven science and machine learning

   Conference talk, APS March Meeting Abstracts

   • Ionic separations
   • Machine learning

2021

1. Machine Learning for Accelerating Materials Development for Electrochemical Systems: Fuel Cells and Electrochemical Separations

   Workshop talk, Telluride Science Research Center Workshop on Machine Learning and Informatics for Chemistry and Materials · Telluride, Colorado, United States

   • Machine learning
   • Electrochemical systems
   • Ionic separations

2. Inteligencia Artificial y Simulación en Ingeniería Química: Ampliando los Horizontes del Diseño y la Optimización

   Conference talk, PROCESA 3rd AIChE Colombia Student Regional Conference · Colombia

   • Machine learning
   • AI in industry

3. IA+PSE 10 Lecciones Aprendidas

   Workshop talk, Facultad de Ciencias Naturales y Matematicas, ESPOL · Ecuador

   • Machine learning
   • AI in industry

4. Electrochemical Properties of High-Temperature Polymer Electrolyte Thin Films

   Conference abstract, ECS Meeting Abstracts

   • Electrochemical systems
   • Machine learning

2020

1. Modelado, Optimizacion, y Control en Ingenieria Quimica via Aprendizaje Automatico

   Workshop talk, Facultad de Ciencias Naturales y Matematicas, ESPOL · Ecuador

   • Machine learning
   • AI in industry

2017

1. Iron- and Manganese-modified Diatomite as Catalyst for Ozonation of Wastewater

   Conference presentation, 23rd International Ozone Association World Congress · Washington, D.C., United States

   • Environmental engineering

2. Heterogeneous Catalytic Ozonation of Phenol in a Trickle Bed Reactor over Fe (II) Based Catalysts

   Conference presentation, 23rd International Ozone Association World Congress · Washington, D.C., United States

   • Environmental engineering

2015

1. Use of a trickle bed reactor for heterogeneous catalytic ozonation of phenol

   Conference presentation, 22nd International Ozone Association World Congress · Barcelona, Spain

   • Environmental engineering