An overwhelming flood of information is available in today’s humanitarian emergencies. Identifying key information and meaningful knowledge for prompt situation analysis is a challenge as it effects the ability to efficiently respond to crises. By automating the process of information extraction from data through Machine Learning and Natural Language Processing algorithms, we have the potential to allow for more informed decisions in crisis situations.

Project Team

Aayush Chadha

Aayush is a third year student of Artificial Intelligence at the University of Manchester. Originally hailing from India, Aayush’s fascination for computers began with the use of chess engines. Since then, the fascination has expanded to natural language processing and data wrangling. His time at university is divided between working at a startup as a developer, assisting with research into Parkinson’s Disease at the University of Manchester and travelling to hackathons on the weekend.

Andrea Cupertino

Andrea studied Nanotechnologies for ICTs in a joint master of science among EPFL, INP Grenoble and Politecnico di Torino, before joining Stanford University for his master’s thesis on organic and printed electronics. He is passionate about how science and technology can help solving humanitarian challenges, for which reason he put effort into many volunteering activities with Ingegneria Senza Frontiere Italy.

Antonio Gilardi

I’m Antonio, a Ph.D. student at the University of Naples Federico II based at CERN, working on the Wakefield studies on CLEAR (a linear accelerator at CERN). I’m graduated in the same university with a thesis on the parasitic resonances. I don’t feel comfortable to say “I’m an expert” but I have a quite good competence on beam dynamic, 3D simulations, and some good electronic skill!

Bashir Khoshnevis

Bashir was born in Tehran, studied Computer Science at ShahidBeheshti University. He worked as researcher, developer and system analyst at many companies. Since mobile devices have always been one of his interests, he made a community for iPhone developers and users right after unlocking the first iPhone in Iran which is now the biggest in the country. A few years ago Bashir co-funded a company to offer advanced repair services for laptops and cell phones also training coerces in hardware repair and electronic.

Ben Krikler

Ben is a particle physicist working on the CMS (CERN) and LUX-ZEPLIN (SURF, USA) experiments to search for Dark Matter. Ben graduated in Physics from Imperial College London and (after a brief stint learning to motorcycle in Asia) started his PhD in Particle Physics on the COMET experiment in Japan. Ben is an expert in large-scale distributed simulations, data analysis, machine learning, and general software development as a Fellow of the UK’s Software Sustainability Institute.

Bibek Pandeys

I am Bibek Pandey from Togglecorp Solutions, Kathmandu, Nepal. And I’ve been working here for around a year. I mostly work in Natural Language Processing and occasionally write web apps in Django. I am particularly interested in NLP/Machine Learning, algorithms, mathematics and generative arts. I got a Bachelor of Computer Engineering Degree from Institute of Puchowk Campus, Tribhuwan University, in 2016.

Ewan Oglethorpe

Ewan is a Data Scientist based in the US who is passionate about applying modern Machine Learning and Natural Language Processing techniques to the humanitarian context. He is the co-founder of DEEP, a collaborative platform for collecting and analyzing secondary data. Through the data collected in DEEP and other avenues, he is excited to develop algorithms and systems to automatically extract data from humanitarian secondary information.

Lennart Heim

Lennart is currently pursuing his master’s degree in Electrical Engineering with the specialisation Computer Engineering at RWTH Aachen in Germany. His studies are focussed on embedded systems, electronic design automation and wireless networks. During his studies he works in two research groups – one in the field of human chemosensory perception, where he helps designing, building and running hardware setups for olfactory stimuli, often during fMRI experiments. The other one focuses on networked systems, where he’s doing research in the field of mm-wave wireless networks. In his freetime, Lennart reads and learns about topics to enable a positive future for humankind, like environmental sustainability, the impact of technologies on society, and neuroscience. For more information you can visit his personal website:

Natalia Gutanu

Natalia is a 2nd year Human-Computer Interaction student at the University of Manchester. She sees technology as a means for enhancing human life, so she often engages herself in projects that describe her view. Currently, she’s part of a startup where she develops a social platform that tries to minimize the risks of hiking in her native country of Romania. She has an immense passion for learning and extending her knowledge, whether that comes from coding, reading, travelling, watching movies, listening to music, writing a novel or dancing salsa.

Navid Rekabsaz

Navid Rekabsaz is a post-doctoral researcher at the Natural Language Understanding lab of the Idiap Research Institute (EPFL affiliated). Before then, he perseued a PhD and master program in computer science at the TU Vienna. He explores the pioneering data-driven methods for natural language processing, and information retrieval, specially the ones based on deep/representation learning. He is curious about deeply understanding the opportunities that such methods bring to tackling real-world problems as well as their implications on society.

Roy Allela

Roy Allela is a Technical Evangelist for Artificial Intelligence and the Internet of Things at Intel. He is also an Intel Innovator and he has a strong passion for the application of nascent technologies to solving everyday problems. He is a Royal Academy of Engineering 2018 LIF Fellow and he emerged the Global Winner of the 2017 Edition of American Society of Mechanical Engineers ISHOW competition. He has a background in Microprocessor Technology and Instrumentation from The University of Nairobi.

Wilhelmina Welsch