CEO

Simon White

Previously COO of FTSE listed Man Group, COO and CFO of NYSE listed GLG Partners Inc. – two of the most prominent alternative
fund management players globally. Since 2014 he has worked with tech and tech-facilitated start-ups in lending, mobile communications,
supply chain finance, digital migration and music NED roles, including the NYSE listed Nomad foods with a $5bn market capitalisation.

Co-Founders

Dr. Joe Lyske

Joe is the co-founder of Time Machine Capital Squared (TMC2), and was the co-founder of its predecessor Time Machine Capital. Joe is
a polymath, accomplished in diverse interdisciplinary fields such as artificial intelligence, film composition, game audio design, and
aviation. Joe has been pushing the boundaries of creative artificial intelligence since the turn of the millennium. He has grasped elusive
solutions to problems known and unknown through his knowledge of physics, sounds, mathematics, and programming. Joe’s role as CEO
of MXX and Co-founder of DAACI has paved the way for him to invent over 40 distinct granted patents in artificial intelligence,
encompassing a range of creations across projectile tracking, digital signal boundary classification, AI music composition and music
editing, media content tracking, and artificially intelligent emotional perception technologies.

Philip Walsh

Philip is the co-founder of Time Machine Capital Squared (TMC2), and was the co-founder of its predecessor Time Machine Capital.
Philip has a long history in tech ventures and most recently became a board member of Triller, a social entertainment platform based in
Los Angeles, helping to raise the company’s valuation from $100m to currently $1.5b. Previous to this, Philip was the CEO of
SimplexGTP, a leading SaaS fintech platform delivering highly innovative solutions to many of the world’s leading financial institutions,
overseeing its sale for more than US$100m. With a strong owner/operator background, Philip advises multiple tech companies in London
on strategy and is networked into a variety of tech communities globally. He has assisted in raising millions of dollars for tech start-ups
on a journey which began in the late 90s in London’s financial markets, devising trading platforms for emerging instruments using new
technologies.

Heads of R&D

Prof. Aggelos Pikrakis Eng., Ph.D.

Besides his role at Emotional Perception, Aggelos Pikrakis is a Scientific Advisor with TMC² and an Assistant Professor with the
Department of Informatics at the University of Piraeus, Greece.
His research interests lie in the areas of machine learning/artificial intelligence for audio, video, speech and music signals with an
emphasis on deep neural network architectures, dictionary learning algorithms, hidden Markov Models and dynamic time warping
techniques. He is a co-inventor of granted patents on music recommendation technology and he has co-authored two international
textbooks with Academic Press in the areas of pattern recognition and audio analysis, as well as more than 50 research papers in
international journals and conferences, including IEEE Transactions on ASLP, IEEE Transactions on Multimedia and IEEE ICASSP. He
has also served for a number of years as an Associate Editor of the EURASIP Journal on Advances in Signal Processing.

Dr. Nadine Kroher

From flamenco rhythms to decoding stock market patterns, Nadine Kroher’s expertise is wide-ranging and diverse. Her unique
background also serves her well in her role as the Co-Head of Research and Development at Emotional Perception Ai, Pyrsos,
and TMC²’s in-house AI Lab.
She specialises in machine learning and pattern recognition and uses her skills to apply fresh thinking to a variety of use cases for
artificial intelligence (AI).
Nadine’s PhD in Applied Mathematics specialises in machine learning and pattern recognition for content-based music analysis.
Her work addresses challenging AI problems in a variety of areas, including computer vision, machine listening, time series
prediction and generative neural networks. She holds several patents in the field and has co-authored numerous journal
publications and conference papers. As well as her PhD, Nadine has a BSC and MSc in Electrical and Audio Engineering, a
further MSc in Sound and Music Computing, and is a former employee of the Music Technology Group, Pompeu Fabra
University, where she worked on audio analysis, pattern recognition, and machine learning.