Mathematical Sciences Industry Connection Event

Event Details

Date: Friday, April 10
Time: 4—7 PM
Location: Gateway South Hall, Room 122 (with virtual option)
Zoom Link: https://stevens.zoom.us/j/97824566585

The purpose of the event is to provide students with meaningful insight into various industry career paths. The program consists of two parts: individual presentations, followed by a panel discussion and Q&A session.

Panelists:

Abhimanyu Agarwala, Data Analyst, Essen Health Care

Denis Serbin, Ph.D., Lead Developer - Data Science, AI, and ML, New York Stock Exchange

Miswa Gandhi, Product Manager, Goldman Sachs

Volodymyr Volchenko, Vice President and Quantitative Researcher, Morgan Stanley

Amber Johns, Senior Data Analyst, Tapestry

ABSTRACTS

Agentic AI in Healthcare: The Role of Data Integrity and Governance by Abhimanyu Agarwala

Abstract: 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.

Multi-Channel Data Integration for NYSE Regulation by Denis Serbin

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.

Driving Innovation with AI in Financial Products by Miswa Gandhi

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.

Data-Driven Finance: Why Data Is the Backbone of Quantitative Finance by Volodymyr Volchenko

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.

Data Analytics: Smart AI Needs Smarter Analysts by Amber Johns

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.

BIOGRAPHIES

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.

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.

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.

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 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.