🧐 Academic service

Leadership & Organizer roles:

• Organizer of FairComp & WellComp workshops at UbiComp 2024, Melbourne, Australia.
• General co-chair of HCRL workshop at AAAI 2024, Vancouver, Canada.
• Editorial board member of Nature Digital Medicine (2023-).
• Editorial board member of IEEE Pervasive Computing (2023-).
• General co-chair of FairComp & WellComp workshops at UbiComp 2023, Cancun, Mexico.
• Session chair on Industry Perspectives at MobileHCI 2023, Athens, Greece.
• Co-organizer and track chair of CHIL 2023, Boston, USA.
• Senior panel/roundtable chair at ML4H 2022, New Orleans, USA.
• Chair of WellComp workshop at UbiComp 2022, Cambridge, UK.
• Session chair on data science for rich data types at KDD 2021, Singapore/online.
• Co-organizer of the Federated sensing tutorial at MobiCom 2021, New Orleans, USA.

Program Committee Member: AAAI 2021-2024, IJCAI 2020, KDD 2020-2023, FAccT 2023, SIAM SDM 2022, Sensiblend @ Ubicomp 2021, Mobiquitous 2022.

Reviewer: NeurIPS, ICLR, ICML, AAAI, IJCAI, KDD, CHI, Ubicomp/IMWUT, CHIL, Nature Digital Medicine, WACV, Nature Scientific Reports, ICASSP, Expert Systems with Applications, Neurocomputing, WWW/The Web Conference, Engineering Applications of Artificial Intelligence, ICWSM, and more.

📢 Invited talks

• 📍 Cambridge Tech Week, Cambridge, UK — September 11, 2024

• 📍 AAAI'24 Health Intelligence workshop, Vancouver, Canada — February 27, 2024

• 📍 Cambridge MedAI Seminar Series, Biomedical Campus, Cambridge, UK — January 30, 2024

• 📍 Microsoft AI & Pizza talk - Cambridge ELLIS Unit, Cambridge, UK — November 30, 2023

• 📍 Cambridge Public Health symposium, Cambridge, UK — March 27, 2023

• 📍 Rising Stars in AI, KAUST, Saudi Arabia — February 20, 2023

• 📍 King's College London, Precision Health Informatics Data Lab, London, UK — November 24, 2022

• 📍 AI Summit, London Tech week, London, UK — June 16, 2022

• 📍 Feinstein Institutes of Northwell Health, New York, USA (remote) — March 22, 2022

• 📍 Jesus College Postgraduate Conference, virtual event, UK — March 5, 2021
• 📍 Barclays Eagle Lab, Cambridge, UK — March 12, 2020

• 📍 MRC Epidemiology Unit, University of Cambridge, UK — March 5, 2019
• 📍 Ocado, Barcelona, Spain & Hatfield, UK (remote) — July 10, 2019

• 📍 Facebook PhD Open House, London, UK — October 25, 2018

🗞️ Press

Large Language Models for timeseries: Techcrunch, LG AI Research.

Audio AI for COVID-19: Cambridge University (1), (2), (3), (4), BBC, The Guardian, Financial Times, The Times, Forbes, Slate, Huffington Post, DailyMail, ITV, IEEE Spectrum, TheNextWeb, STAT, EPFL, TheScientist, The Register, KDnuggets, NPR/WBUR, Psychology Today, El Pais, RAI, Corriere della Sera, Focus, DerStandard.

AI for wearables: Cambridge University (1), (2), New York Times, Bloomberg, VentureBeat, Business Insider, Runner's World, Communications of the ACM, Daily Mirror, Bicycling Magazine, Owkin, Spektrum.de.

Data-driven music psychology: Cambridge University, The Times, Washington Post, CNN, The Telegraph, Sky News, ITV, DailyMail, Inc., CTV, ZDF, Der Tagesspiegel, ABC.ES, ABC.AU, ELLE, Cosmopolitan, RTBF, TEDx.

Interviews: IndiaAI.gov

🎒 Mentoring

I enjoy collaborating with PhD and thesis students, usually as part of an internship in our lab. Here are some recent research projects I supervised:

• Chi Ian Tang (University of Cambridge): Self-supervised and continual learning
• Benjamin Searle (University of Cambridge): Capturing compulsive behaviours w/ wearables
• Kevalee Shah (University of Cambridge): Benchmarking contrastive learning algorithms
• Chuen Low (University of Cambridge): Attention models for timeseries
• Yu Yvonne Wu (University of Cambridge): Weakly-supervised and self-supervised learning
• Shohreh Deldari (UNSW Sydney): Multimodal self-supervised learning
• Sofia Yfantidou (Aristotle University): Machine learning fairness
• Francesco Pase (University of Padova): Self-supervised federated learning
• Aashish Kolluri (National University of Singapore): Multimodal adapters for large models
• Ryuhaerang Choi (KAIST): Data-centric multi-task learning
• Arvind Pillai (Dartmouth College): Foundation models for physiological signals

I have also been a teaching assistant for the following undergraduate courses:

• Machine Learning & Real-World Data (U. of Cambridge)
• Mobile & Sensor Systems (U. of Cambridge)
• Scientific Computing (U. of Cambridge)
• Numerical Analysis (Aristotle University)

🎠 Playground

“The next big thing in technology often starts off looking like a toy”

Quantifying name-dropping

Communitypoprefs.com is a data visualization website, where we present every pop-culture reference over the course of 5 seasons of the TV series Community.

Map out your music taste on Spotify

Visualizing my favourite songs on Spotify with dimensionality reduction and anomaly detection. Data essay published in Cuepoint Magazine, Medium's premier music publication.

Children books and childish language?

Text mining Game of Thrones, Harry Potter, Hunger Games and Lord of the Rings books. Data essay featured in Medium's Editor Picks.

Anonymize kids' faces before posting online

Mobile app with face recognition, age estimation, & emotion recognition to blur kids or replace their face with emotion-based emoji. Developed during HackZurich 2018.

Discover top local news globally

Glocalne.ws was a mashup of Google News and Google Maps. Unfortunately it is now defunct due to API discontinuance.

Composing music and text with Recurrent Neural Networks

Training neural networks on massive amounts of musical notation and literature and letting them create their own art. Essay in Greek but you can still see/listen to the results.

🕳️🐇 Personal

Non-academic things about me: I love music, both playing and listening. I am mostly into art rock and indie folk, with the occasional exception of some well-crafted pop. Although I am an accordionist by training, over the last few years I've been playing mostly piano and ukulele. In a previous life, I performed with the critically acclaimed band The Children of the Oldness (aka Kore Ydro) and recorded the album "Consortium in Amato" (listen here).

I also enjoy street photography and in particular playing with light—photography comes from Greek φως (light) and γραφή (writing), or drawing with light. A sample of my shots is on Flickr and one of my landscapes was featured in the Huffington Post.

Lastly, and perhaps most importantly, I'm always on the lookout for ways to move items from the "non-academic list" to the "academic list"—let me know if you'd like to help!