Professional Experience

IBM Research 

Research Lead

• Full stack system optimization techniques (reliability, energy efficiency, security etc) for IBM's server systems. 

• Systems research and development including emerging technology development such as 3D-ICs (deployed across a broad range of applications from quantum computing, to flash memory, cell phones and implantable medical devices such as pacemakers), non-volatile memories (MRAM, PCM etc).

IBM Corporate

Chief of Staff to Global CINO

• Firm-wide innovation partnerships focusing on machine learning, cognitive systems as the Chief of Staff & Technical Assistant to IBM Global Chief Innovation Officer.

• Custom solution development for Fortune-500 Corporate Partnerships, using research, software development and computing infrastructure solutions.

J.P. Morgan Investment Bank

Innovation Program Management

Technical Strategist to Chief Information Officer 

• Technical lead for Investment Banking AI, machine learning research and innovation projects to replace legacy computing systems with AI/ML supporting infrastructure and models. 

• Deployed solutions included end-point cybersecurity solutions and biometric authentication for fraud (ATO) prevention, internal crime detection and compliance solutions, NLP based market prediction and sentiment extraction. 

• Emerging technology strategy development and technology landscape reports - JP Morgan Global CIO.

• Firm-wide innovation strategy development for new technology adoption

Bank of America, 

Data Science Executive

Client Protection Technology

• Led the development of the firms first in-house AI/ML-based payment processing system including fraud and financial crime models

• Deployed model set included individual payment channels (such as credit card, debit/ATM, person-to-person mobile payments, online banking transactions etc), operational optimization models (for system and process optimization) and cross-channel models (such as account takeover fraud, elderly fraud and financial scams).  

Morgan Stanley

Head of Research at Methodology

• Emerging technology-based solution development, including artificial intelligence and machine learning applications, system design for mission critical applications.

• Graph and knowledge graph learning for financial crime detection,  advanced visualizations for alert resolution, deep learning solutions for portfolio management for responsible investing.

Columbia University

Data and Data Science Executive

• Data and data science programs and strategy for Columbia University Arts and Sciences.

• Custom program development with corporate partners. Curriculum and academic program development for machine learning, data, artificial intelligence and data.

Kurshan was also Visiting Fellow at Princeton's Center for Information Technology Policy and taught as an Adjunct Professor of Computer Science at Columbia University. She is currently an Adjunct Professor at Yale Business School.