DataLearning working group

DataLearning

 

DataLearning is an interdisciplinary working group of researchers and students developing new technologies based on Data Assimilation and Machine Learning. DataLearning came out of the idea to couple and integrate Data Assimilation with Machine Learning technologies in order to exploit the best features of both.


The group fosters effective communication between scientists coming from different scientific disciplines and departments at Imperial College London and other institutions. DataLearning focuses on discussion and activity about Data Assimilation with/and/or Machine Learning. It is important for each scientist to learn about achievements of colleagues to tackle complex scientific problems.

In addition to regular meetings, we organise scientific seminars and workshops, where both experienced scientists and early stage researchers with different backgrounds will share their ideas and coordinate their efforts on relevant subjects. The exchange scheme welcomes students at all levels. Arrangements will be made for joint supervision of MSc and PhD students by the collaborating supervisors.

 Group Meetings
For information on future meetings visit: https://sites.google.com/DataLearning

Organiser
Dr Rossella Arcucci (DSI, ICL) 

DataLearning
DataLearning Group:

Researchers
PhD ResearchersPostgraduate StudentsAlumni
 Dr Anna K Schroeder (University of Cambridge, UK) Alex Harston (Bioengineering, ICL)  Jamal Afzali (Computing, ICL)   Adrian Lowenstein (Computing, ICL)
 Dr Asiri Obeysekara (Chemical Engineering,ICL) Alvaro Arroyo Nunez (Electrical and Electronic Engineering, ICL)  JD Pizzutti (LSE, UK)  Edward M Lim (Computing, ICL)
 Dr Boumediene Hamzi (Maths, ICL) Benjamin J Scharpf (Computing, ICL)  Lingjun Liu (Computing, ICL)  Gabor Tajnafoi (Computing, ICL)
 Dr César A Quilodran Casas (DSI, ICL) Calum Pennington (Life Science, ICL)  Maddalena Amendola (University of Pisa, Italy)  Julian Mack (Computing, ICL)
 Dr Claire Heaney (Earth Science & Engineering, ICL) Caterina Buizza (EEE, ICL)   Maxime Redstone Leclerc (Computing, ICL)   Lamya Moutiq (Centrale Marseille, France)
 Dr Evelyn Heylen (EEE, ICL) Clémence Le Cornec (Civil and Environmental Engineering , ICL)  Pratha Khandelwal (Computing, ICL)  Tolga Dur (Computing, ICL)
 Evgeny Dyshlyuk (Earth Science, ICL) Jingqing Zhang (DSI, ICL)  Robin Hendrickx (Computing, ICL)  Xiaonan Chong (Computing, ICL)
 Dr Fangxin Fang (Earth Science & Engineering, ICL)  Jemimah-Sandra Samuel (Earth Science & Engineering, ICL)    
 Dr James A Scott-Brown (Oxford University) Lluis Via-Estrem (Earth Science & Engineering, ICL)    
 Jemimah-Sandra Samuel (Earth Science & Engineering, ICL) Luis Baca Ruiz (DECSAI, University of Granada, Spain)    
 Dr Julio Amador Díaz López (DSI, ICL) Mihai Suteu (DSI, ICL)    
 Dr Julio Perez Olvera (Electrical and Electronic Engineering, ICL) Mohammad Maccido Usman (Earth Science & Engineering, ICL)    
 Dr Kezhi Li (Electrical and Electronic Engineering, ICL) Pablo Ortega San Miguel (Computing, ICL)    
 Dr Luke M Phillipson (Physics, ICL) Pan Wang (DSI, ICL)    
 Dr Miguel Molina Solana (University of Granada, Spain) Philip Nadler (DSI, ICL)    
 Miguel Xochicale (King's College London, UK) Robin Evers (Math, ICL)    
 Dr Ovidiu Serban (DSI, ICL) Stefano Marrone (University of Naples Federico II, Italy)    
 Dr Pablo Salinas (Earth Science & Engineering, ICL) Vinicius L S Silva (Earth Science & Engineering, ICL)    
 Dr Sesh Kumar (DSI, ICL) Zainab Titus (Earth Science & Engineering, ICL)    
Dr Silvia Muceli (Chalmers University of Technology, Sweden)      
Dr Yuan Luo (Computing, ICL)      
Zainab Titus (Earth Science & Engineering, ICL)      
The DataLearning Group meet weekly in the DSI

Workshops

The 2nd MLDADS workshop is part of the International Conference on Computational Science (ICCS)
held in Amsterdam, Netherlands 3-5 June 2020. For further information.

The 1st MLDADS workshop was part of the International Conference on Computational Science (ICCS)
held in Faro, Portugal 12-14 June 2019. For further information    

 MLDADS