Dr. Raoul-Gabriel Urma
Raoul holds a PhD in Computer Science from Cambridge University and was nominated an Oracle Java Champion for his contributions to the community. He is an international speaker and best-selling book author. He has advised and worked for several organisations on large-scale software engineering projects including at Google, Oracle, eBay and Goldman Sachs.
Dr. Chih-Chun Chen
Education and Research
Chih-Chun Chen is a research associate at the University of Cambridge. She holds a PhD in Computer Science from University College London and an bachelor’s degree in Psychology with Philosophy from the University of Oxford. She has worked for several large organisations, including Microsoft Research, Deutsche Bank, Yahoo Europe and e-skills UK (now the Tech Partnership).
Kevin has led development of data products for the energy sector and worked for the telecommunications industry at Qualcomm. He was also a visiting researcher at Stanford University. Kevin has delivered data science and machine learning training courses to various clients from industries that include finance, engineering and research helping professionals leverage the latest techniques.
Sales and Marketing manager
Olivia joined the team after attending our very first programming courses and is the person to talk to about our Applied Data Science Bootcamps and what it's like training at Cambridge Spark. She holds a degree in Design Innovation and Strategic Management from Victoria University and worked in user experience design. She also oversees our Web Design and Development.
Daniel joined the team, roughly two years after attending one of our earlier intensive coding workshops. He holds a degree in International Business Strategy from Anglia Ruskin University and has a diverse background, ranging from retail, FinTech and Supply Chain Management.
PA to CEO
Data Science Teaching Fellow
Patrick is a PhD student in Mathematical Genomics and Medicine at Cambridge University and The Wellcome Trust Sanger Institute, and CEO of Heterogeneous, a startup based in Cambridge. His work focuses on analysing the role of non-coding mutations in developmental disorders, integrating a variety of diverse data sets including epigenetic marks, transcription factor binding predictions, and detailed clinical phenotypes with genome sequence data.
Dr. Ekaterina Kochmar
NLP Teaching Fellow
Ekaterina is a senior research associate at the Cambridge University Computer Laboratory, working on Automated Language Teaching and Assessment (ALTA). She conducted her Ph.D. at the Natural Language and Information Processing group, Computer Laboratory. Her research focuses on compositional distributional semantics and the use of machine learning methods in educational NLP.
Big Data Teaching Fellow
Sahan Bulathwela has been working as a Data Science Engineer at Skimlinks, where his primary focus is on building high performance data pipelines for data processing and machine learning. He holds an MSc in Computational Statistics and Machine Learning from UCL. For his masters thesis, he worked with a Research and Advanced Development team at Cisco Systems to adapt machine learning algorithms to Cybersecurity.