BMES2026 Featured Events

A. Eugene and Marie Washington Presidential Distinguished Professor
Professor of Psychiatry and Behavioral Sciences
Professor in Neurobiology
Professor in Neurosurgery
Professor of Biomedical Engineering
Investigator in the Duke Institute for Brain Sciences
Duke Neurobiology
Duke University School of Medicine

Biography

• EV and LNP Heterogeneity: Understanding variation in particle size, concentration, and surface properties and its implications for reproducible research and clinical translation

• Size Exclusion Chromatography (SEC): Purifying EVs and LNPs using SEC and removing non-vesicular protein, unconjugated antibodies and unbound dyes from biological fluids and complex formulations

• Automated SEC Processing: Using automated fraction collection and robotic column processing to improve repeatability, standardization, and throughput

• High-Throughput Screening: Applying parallel column processing to formulation screening and biomarker screening studies across diverse sample types and conditions

• Continuous and Monitored SEC: Tracking UV, pH, and conductivity in real time and extending SEC workflows from bench-scale research to larger-volume processing

• Tangential Flow Filtration (TFF): Applying TFF for concentration and buffer exchange upstream of SEC, downstream, or at both stages depending on sample requirements

• Scale-Up and Process Development: Connecting isolation workflows across discovery-stage research, process development, and larger-volume processing

• Tunable Resistive Pulse Sensing (TRPS): Measuring particle size, concentration, and zeta potential on a particle-by-particle basis

• Nanopore Pulse Sensing (NPS): Using solid-state nanopore sensing for streamlined, higher-throughput single-particle characterization across a concentration range of 10⁹–10¹² particles/mL

Dr. Botai Xuan, Chief Scientist Americas, IZON Science
Botai Xuan earned his Ph.D. in Molecular Pharmacology and Physiology from Brown University, where his dissertation research pioneered the biophysical characterization of a novel subpopulation of polypoidal cancer cells. As Chief Scientist for the Americas at Izon Science, he leads scientific and technical projects of the company's nanoparticle and extracellular vesicle characterization platforms. His background spans single-particle biophysical and molecular characterization of EV and nanoparticle systems. He is helping translate rigorous science into robust, accessible tools that push the EV and nanoparticle field forward. 

Dr. Gerardo Mauleon, Business Development Manager, IZON Science
Gerardo Mauleon is Business Development Manager for the Midwest and Latin America region at Izon Science, a leader in extracellular vesicle isolation and nanoparticle characterization. He earned his Ph.D. in Bioengineering from the University of Illinois Chicago, developing microfluidic platforms for oxygen control in living tissue, and completed postdoctoral work at the University of Chicago studying single-EV dynamics in microfluidic systems. At Izon, he supports academic labs, biotech startups, and pharmaceutical companies in fields spanning EVs, nanomedicine, cell and gene therapy, and biomarker discovery. He is passionate about helping researchers overcome barriers in EV isolation and analysis and works with scientific communities across North and Latin America in English and Spanish.  

Alejandro Flores, Senior Sales and Application Scientist, IZON Science
Alejandro Castañeda Flores earned an M.S. and B.S.E. in Chemical Engineering from Arizona State University. As Senior Sales and Application Scientist at Izon Science in Houston, TX, he specializes in nanoparticle characterization, EV isolation, single-particle analysis techniques, and scientific instrument workflows. He leads process development and technology transfer for EV processing and has driven the adoption of chromatography for EV-based therapeutics and diagnostics. Before joining Izon Science, Alejandro spent two years at Fujifilm Diosynth Biotechnologies, where he ran closed-process downstream operations and authored SOPs under cGMP regulations while training junior team members. Passionate about translating cutting-edge science into practical lab workflows, he continues to help researchers and manufacturers apply EV and nanoparticle technologies to real-world therapeutic and diagnostic challenges.

• Data Visualization and Exploratory Analysis: Using graphical techniques to explore multidimensional data, uncover patterns and insights, visualize relationships, and communicate results effectively

• Design and Analysis of Experiments (DOE): Planning and analyzing statistically efficient experiments to support product development while minimizing time, cost, and material usage

• Classic and Modern Statistical Modeling: Building and evaluating models to identify factors that influence critical outcomes, describe multivariable relationships, and predict outcomes

• Bioimage Analysis: Constructing predictive models using Torch deep learning neural networks to predict outcomes from images

• Download JMP and data sets prior to workshop if wanting to follow along:

  • Faculty and Students – Download free academic license.

  • Commercial – Download free 30-day trial of Standard JMP.

  • Workshop Materials (data): Download here.

Kevin Potcner, M.S., Statistical Scientist, JMP Statistical Discovery Software
Kevin Potcner is a statistical scientist from JMP Statistical Discovery Software. His primary function is to support the academic community in the use of JMP in teaching and research. He has 25+ years of consulting and teaching experience guiding engineers, scientists, and business professionals in data-driven decision making. Kevin has worked in a wide range of industries including automotive, biotech, chemical, consumer goods, healthcare, financial services, food & beverage, medical device, pharmaceutical, semiconductor, among others.

Kevin has held teaching positions at The Rochester Institute of Technology, University of Florida, University of San Francisco, and California State University – Fullerton. Kevin holds a BS in Printing Sciences and an MS in Applied Statistics both from The Rochester Institute of Technology.

• High-fidelity cardiac modeling: Building and refining computational models of cardiac electrophysiology and human physiological systems

• Disease-state simulation: Parameterizing models to represent pathological conditions, including regional ischemia

• Simulated biomedical signals: Generating and analyzing ECG and cardiac electrogram (EGM) signals from physiological simulations

• AI for biomedical signal analysis: Applying time-frequency methods, CNNs, LSTMs, and other deep learning approaches to ECG classification and cardiac anomaly detection

• Generative AI in biomedical research: Exploring GenAI approaches for biomedical data analysis

• AI model verification: Evaluating AI models for reliability, robustness, and safety

• Practical methods and tools: Tips and techniques for applying computational modeling and machine intelligence to biomedical research

Reza Fazel-Rezai, Ph.D., Senior Science and Education Application Engineer, MathWorks
Dr. Reza Fazel-Rezai, with a Ph.D. and MS in Biomedical Engineering and a BS in Electrical Engineering, brings over two decades of experience in both industry and academia. As a senior research scientist, research team manager, and the founding Director and tenured full Professor of Biomedical Engineering, he has extensive expertise and background in the field.  Dr. Fazel-Rezai has authored more than 200 scientific publications, edited and published seven books, and pursued diverse research interests in biomedical signal and image processing, particularly through machine learning and deep learning methods. Passionate about leveraging and sharing his skills to help others achieve their goals, he currently serves as an ABET PEV for Biomedical Engineering, works part-time as an instructor at UC San Diego, and is a full-time Senior Science and Education Application Engineer at MathWorks.