Recent corporate events and conferences where Irene Aldridge was invited to speak:

March 4, 2021. Capital Markets Credit Analyst Society, panel on Fintech: <href=”https:”” eweb=”” dynamicpage.aspx?site=”CMCAS&WebCode=210225FintechPanel””>CMCAS</href=”https:>

January 19, 2021: “Big Data as a New Paradigm in Finance”, Columbia University Math Practitioner Seminar. Abstract: Big Data shows promise delivering unbiased optimal factorization even in a noisy environment with substantial missing observations. This talk will discuss applications in Finance, including optimal driver identification and future prediction.

December 7, 2020: “Finance for Engineers”, Cooper Union for the Advancement of Science and Arts

November 16, 2020: “Trading around Major Macro Announcements: A Microstructure Study”, Carnegie Mellon University, Financial Engineering Program

October 21, 2020: Instinet Panel on AWS Implementation (appeared as moderator)

October 9, 2020: Guest Lecture at John Hopkins Carey Business School, Discussion on the Big Data and Life in Finance.

September 16, 2020: Conversations with Frank Fabozzi, for Journal of Financial Data Science, available here: (free, but registration is required)

May 21, 2020: The 8th Annual Big Data Finance Conference (

April 29, 2020: “Hedging with Dimensionality Reduction”, presentation, Professional Risk Managers’ International Association (PRMIA).

March 31, 2020: “Predicting Analysts’ Forecasts with Semi-Supervised Learning”, presentation, Columbia University Math Practitioner Seminar, New York, NY.

March 18, 2020: “Big Data in Finance”, presentation, Financial Risk Hub, London, UK

February 26, 2020: HFM Quant Summit, NYC.

January 23, 2020: Fordham University Panel on Data Science and Machine Learning in Finance.

December 11, 2019: Instinet’s private client event, panel on the future of AI

November 21, 2019: Panel of Big Data and Machine Learning in Finance, Journal of Portfolio Management Annual Meeting

September 2019 – November 2019: “Real-Time Risk, Microstructure and Big Data”, Cornell University course.

May 9-10, 2019: The 7th Annual Big Data Finance Conference, Cornell Tech, New York City: Big Data Techniques

April 30, 2019: Cambridge University Investments Conference, Cambridge, UK

March 26, 2019: “Big Data Science in Finance: Mathematics and Applications” Columbia University Math Practitioner Seminar, New York City

September – December 2018: teaching “Real-Time Risk” course at Cornell Tech

June 14, 2018: Bank of America Merrill Lynch Investor Conference, London, UK: Big Data and Market Microstructure

May 11, 2018: The 6th Annual Big Data Finance Conference, Cornell Tech, New York City: Big Data in Portfolio Management

January 18, 2018: Columbia University Math Practitioner Seminar, New York City

December 5, 2017: Big Data Finance Miami 2017

November 2, 2017: Global Derivatives, Chicago

September 15, 2017: National Investor Relations Institute Conference, Chicago

July 18, 2017: Barclays Panel on Financial Innovation, NYC

July 17, 2017: Bank of America Panel on Machine Learning in Finance, NYC

July 11, 2017: “Real-Time Risk in the Context of Big Data”, Quant Summit, NYC

June 28, 2017: Sentiment Analysis Symposium, NYC

June 22, 2017: “Real Time Risk”, GFMI: Optimize Data Quality and Analytics for Financial Institutions, NYC

June 5, 2017: National Investor Relations Institute, Orlando, FL

May 19, 2017: Big Data Finance Conference, NYU Center for Data Science (60 5th Ave, NYC)

April 3, 2017: Finadium Investors in Securities Lending Conference

March 24, 2017: NYU Poly Fintech Careers Panel

March 13, 2017: NYU Women in Quant Panel

February 8, 2017: Cornell University (view the presentation on YouTube: