
Zuzanna Kozicka
I am a PhD student in the laboratory of Nicolas Thomä at the Friedrich Miescher Institute in Basel, Switzerland. I have an avid interest in molecular glue degraders and, more generally, in understanding how changes in protein interactomes can be brought about by the binding of small molecules. Prior to joining the Thomä lab, I completed my studies at the University of Edinburgh and I undertook various research projects, including one in the laboratory of Alessio Ciulli at the University of Dundee that focussed on PROTAC ‘linkerology’.

Satrajit Chatterjee
Sat is an Engineering Manager and Machine Learning Researcher at Google AI. His current research focuses on fundamental questions in deep learning (such as understanding why neural networks generalize at all) and on applications of ML to hardware design and verification (specifically hardware for ML acceleration).
Before Google, he was a Senior Vice President at Two Sigma, a leading quantitative investment manager, where he founded one of the first successful deep learning-based alpha research groups on Wall Street and led a team that built one of the earliest end-to-end FPGA-based trading systems for general purpose ultra-low latency trading. Prior to that, he was a Research Scientist at Intel where he worked on microarchitectural performance analysis and formal verification for on-chip networks.
He did his undergraduate studies at IIT Bombay, has a PhD in Computer Science from UC Berkeley, and has published in the top machine learning, design automation, and formal verification conferences.

Jonathan Ross
Jonathan Ross is Groq’s technical founder and CEO. Prior to founding Groq he began what became Google’s TPU effort as a 20% project where he designed and implemented the core elements of the original chip. Jonathan next joined Google X’s Rapid Eval Team, the initial stage of the famed “Moonshots factory”, where he devised and incubated new Bets (Units) for Google’s parent company, Alphabet. Jonathan studied mathematics and computer science at NYU’s Courant Institute, and in his second year was the first Computer Science undergraduate to complete courses restricted to PhD students.

Charles Macfarlane
Charles Macfarlane is CBO and Director at Codeplay Software in Edinburgh since 2014 responsible for sales, marketing and business development. Charles graduated from Glasgow University with an honours degree in Electronic Systems and Microprocessor Engineering. Charles then followed a career doing ASIC chip design in GEC Plessey Semiconductors and Pioneer, applications engineering and marketing with VLSI/Philips/NXP in South France, and product marketing director with Broadcom® in Cambridge for mobile multimedia solutions used by Nokia®, Samsung® and Raspberry Pi®.

Igor Arsovski
Igor Arsovski is the Chief Technical Officer in the ASIC Business Unit at Marvell.
He started with IBM Microelectronics in 2003 and has since worked at multiple companies across the full semiconductor vertical stack from Design Technology Co-Optimization(DTCO) of Memory & Standard Cells to full Architecture and PPA optimization of the highest performing Networking and Machine Learning ASICs.
He is currently responsible for Data Center and Automotive ASICs, defining IP, Methodology, and Packaging strategy for the next generation compute solutions.
His extended focus is energy efficient building blocks for Machine Learning, Modularity, 3D Memory Integration, and Artificial Intelligence Assistants for Chip Design.
Igor has authored more than 20 IEEE papers, has over 85 patents, and is serving on multiple conference committees.