A full classroom of students listening intently to a lecture.

Mathematical Sciences Industry Connection Series

Discover the intersection of academia and industry at the Mathematical Science Industry Connection Event, which showcases the incredible experiences of our students and alumni in various industries.


Our Goals

By connecting students with successful professionals who have walked the halls of our university and offer invaluable insights, perspectives, challenges and triumphs in their respective fields, we strive to:

  • Provide attendees with insights into how theoretical knowledge is applied in the workplace

  • Understand what courses and skills are most valued by employers

  • Instill the confidence to navigate career paths from the world of mathematical sciences and other related studies

  • Ensure students are not only academically prepared but also industry-ready upon graduation

A full audience of students sit at long tables in a room looking forward at a speaker at a podium.2026 Event

Tuesday, April 10, 2026 · 4:00 PM – 7:00 PM
Gateway South 122
Stevens Institute of Technology, Hoboken, NJ

Join us for an evening of conversation and insight featuring professionals working across today’s data-driven industries, sharing perspectives on navigating mathematical sciences careers. Hosted by the Department of Mathematical Sciences.



MORE DETAILS

2026 Speakers

Meet the 2026 speakers as they share their experiences across AI, data science and technology, and offer perspective on how mathematical sciences connect to real-world career paths and industry needs.

Denis Serbin
Denis Serbin.
Lead Developer - DS / ML / AI, New York Stock Exchange

Talk: Multi-Channel Data Integration for NYSE Regulation

In this presentation I'd like to discuss how NYSE Regulation and Market Surveillance incorporates various data sources (both traditional and alternative) in market alert generation and resolution. I will also touch upon some ML / AI methods and tools used in processing the data.

About:

Before NYSE, Denis Serbin worked as a Teaching Associate Professor in the Department
of Mathematics at Stevens Institute of Technology. In particular, he taught courses in the
Data Science master's program. Denis holds a Ph.D degree in Pure Mathematics.

Abhimanyu Agarwala
Abhimanyu Agarwala.
Senior Data Analyst, Data Warehouse

Talk: Agentic AI in Healthcare: The Role of Data Integrity and Governance

In this presentation, I will discuss how enterprise data warehouse architecture in healthcare enables agentic AI by providing a scalable, governed data foundation. I will highlight how modern cloud platforms and structured data pipelines ensure data integrity, consistency, and accessibility across clinical and operational workflows. The session will also cover the role of data governance in supporting safe, compliant, and scalable AI solutions in a regulated environment.

About:

Abhimanyu Agarwala is a data and analytics leader at Essen Health Care, where he leads enterprise data warehouse and analytics initiatives, enabling data-driven decision-making across clinical and operational domains. Before this, he worked as a Marketing and Insights Analyst at Bayer, focusing on data-driven strategy and business insights. He also served as a Teaching Assistant in the Department of Mathematics at Stevens Institute of Technology, supporting courses in the Data Science master’s program. He holds a Master’s degree in Data Science.

Volodymyr Volchenko
Volodymyr Volchenko.
Vice President in Quantitative Research, Goldman Sachs

Talk: Data-Driven Finance: Why Data Is the Backbone of Quantitative Finance

Models and algorithms get the spotlight, but data is what makes or breaks quantitative finance in practice. In this talk, I'll walk through the role data plays across the quant workflow — general research, risk analysis, trade execution, and performance measurement. I'll discuss how data quality, granularity, and availability determine what we can and cannot do, and how subtle data issues can quietly undermine sophisticated strategies. The talk will conclude with practical advice for students: the data-centric skills and habits most valued on quant teams and hardest to learn from textbooks alone.

About:

Most recently, as a Vice President in Quantitative Research, Volodymyr Volchenko worked on portfolio optimization and intraday market impact modeling using large-scale execution data, designed stochastic A/B testing frameworks for execution algorithms, and built forecasting models for mutual fund performance and a clustering-based framework to analyze various index compositions.

Amber Johns
Amber Johns.
Senior Data Analyst, Tapestry

Talk: Data Analytics: Smart AI Needs Smarter Analysts

Throughout my experience as a data analyst, my role has evolved alongside the rise of new AI tools. While AI is powerful, it is educated analysts who bridge the gap between raw data and meaningful insights to make it useful. Understanding the fundamentals of analytics and applying strong problem-solving skills is key to thriving and adapting in a modern data analytics role.

About:

Amber completed her undergraduate degree at Stevens in Mathematics with a minor in Data Visualization. She earned her Masters in Applied Mathematics with a concentration in Data Science from Stevens in 2024.

Miswa Gandhi
Miswa Gandhi.
Product Management Professional, Goldman Sachs

Talk: Driving Innovation with AI in Financial Products

This presentation explores how product management drives AI innovation within the financial sector. It highlights key strategies for identifying customer needs, navigating complex regulatory environments, and building scalable, user-focused solutions. Drawing from real-world experience, the session will provide insights into balancing business goals with technological advancement to create meaningful financial products.

About:

Miswa Gandhi is a Product Management professional at Goldman Sachs, where she focuses on building and scaling innovative financial products. She brings experience in strategy, user-centered design, and cross-functional collaboration to deliver impactful solutions in the financial services industry.

A full classroom of students listening intently to a lecture from guest speaker Stella Jia.

Stevens Event Links Math Students to Real-World Careers

The second annual Industry Connection Series drew over 120 attendees both in person and online. The event featured alumni and professionals from diverse fields such as AI, machine learning and software engineering, who shared insights on applying mathematical sciences in real-world industries. Speakers included Stella Jia, Jian Hui Mai, Mohammad Nikouei, and Jerry V. Thomas, offering students valuable perspectives on transitioning from academia to industry.

complex math equations written on a chalkboard

Learn More About Our Programs