Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Professor Min Dai is a distinguished academic in the field of Financial Mathematics, currently serving as a Professor in the Department of Mathematics and Director of the Centre for Quantitative Finance at the National University of Singapore (NUS). His research primarily focuses on quantitative finance, encompassing areas such as optimal investment and consumption, derivative pricing and hedging, risk management, computational finance, and behavioral finance. Professor Dai is known for his significant contributions to stochastic control methods applied to finance and his work on bridging theoretical models with practical financial applications. He has published extensively in leading international journals and is actively involved in supervising PhD students and postdoctoral fellows, shaping the next generation of quantitative finance experts.
Min Dai's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads a prominent research center dedicated to advancing quantitative finance research and education, fostering collaboration between academia and industry in Asia.
Authored numerous influential papers in top-tier academic journals such as Mathematical Finance, Finance and Stochastics, and SIAM Journal on Financial Mathematics, significantly impacting the fields of derivative pricing, risk management, and optimal investment strategies.
Serves or has served on the editorial boards of several respected journals in quantitative finance and mathematical finance, contributing to the peer-review process and dissemination of cutting-edge research (e.g., SIAM Journal on Financial Mathematics, Quantitative Finance).
Successfully secured significant research funding from various competitive grant agencies, underscoring the importance and impact of his research work in financial mathematics.
Beijing University of Post and Telecommunications - Year 2004
Beijing University of Post and Telecommunications - Year 2000
Shi da fu zhong
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
TalkingData is a leading third-party big data service platform in China. It provides mobile app analytics, mobile ad tracking, mobile game analytics, and enterprise data solutions to help businesses understand their users, improve operational efficiency, and make data-driven decisions. Their services enable developers and enterprises to track user behavior, optimize marketing campaigns, and enhance product experiences through comprehensive data insights.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.