Thomas Heinis, PhD, is a Lecturer (eq. Assistant Professor) in Computing/Data Management at Imperial College London since September 2014 leading the SCALE lab ( He is currently also a Visiting Professor at the Ecole Polytechnique Federale De Lausanne (EPFL) in Switzerland. Dr. Heinis is renowned for research and development of systems in large-scale data management systems such as MapReduce, noSQL, distributed main memory databases and parallel databases in general. His research particularly focuses on scaling out big data into the cloud for industrial and scientific (medical) applications. Dr. Heinis received a BSc, MSc and PhD from the Swiss Federal Institute of Technology in Zurich. During his studies he also received several fellowships, including a Fulbright fellowship (Purdue University).
Deep Learning
Machine Learning
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