We are experts and innovators in the intersection of financial disclosure and AI a.k.a. monster nerds. Our breakthroughs in the adaptation of language models to financial text facilitate a unique, quantamental approach to reading and understanding SEC filings.
Kris is a data scientist & CPA, CA (KPMG audit) with disclosure-specific machine learning expertise. Published by the Harvard Law School Forum on Corporate Governance and the Conference Board. Former data scientist/reseracher in the corporate governance field and Python programming instructor.
Suhas is a natural language processing researcher, deep learning expert and experienced software engineer (5+ years at IBM). Chair at Toronto Machine Learning Summit NLP and steering committee at Aggregate Intellect Socratic Circles (AISC). Privacy co-chair at BigScience.
CPA, ABV & CFE
Andre is a Certified Public Account (CPA), Accredited in Business Valuation (ABV), and a Certified Fraud Examiner (CFE) with 6+ years' experience providing services related to forensic accounting, litigation consulting, economic damage calculations, valuations, audits, and fraud investigations. He has pushed the boundaries of traditional forensic investigative methods by promoting the use of machine learning and NLP.
Machine Learning Developer
Xiao is a natural language processing practitioner who’s passionate about delivering valuable insights through machine learning and data-driven methods. Xiao previously worked in NLP and analytics at Loblaws. She is a Master of Business Analytics graduate and is pursuing a part-time Master's in Computer Science.
Full Stack Developer
Ray is a full stack developer with extensive knowledge in multiple front-end and back-end languages, responsive frameworks, databases, and best code practices.