2024

• I am now in the committee of the CSML section of the Royal Statistical Society.
• Going to be part of the organising committee of the DSAA'2025 conference, to be held in Birmingham.
• Won the Google DeepMind Research Ready award from the RAEng, to host 12 interns in Summer'25 in Manchester.
• Serving as Senior Area Chair (Senior Meta-Reviewer) for ICML 2025.
• Serving as Area Chair (Meta-Reviewer) for AISTATS 2025 and ALT 2025.
• Served as Workshop Proposal Reviewer for ICLR 2025 Workshops.
• I was at the ML in PL 2024 conference, 7 - 10 November in Warsaw, where gave a contributed talk.
• Meta-analysis of Bayesian Analyses is now up in Bayesian Analysis. Check it out!
• Gave a talk at the Bayes AI Workshop at Lancaster University, 23 - 26 September.
• Paper "Meta-analysis of Bayesian Analyses" (with collaborators) accepted and to appear in the journal Bayesian Analysis.
• The ELLIS Unit Manchester has added me to its ranks.
• (July 1st) New post: Associate Professor (Senior Lecturer) in Machine Learning, Department of Computer Science, University of Manchester.
• Diarra's paper A Note on the Convergence of Denoising Diffusion Probabilistic Models (with Yours Truly) is accepted in TMLR (31 May).
• Served as Area Chair (Meta-Reviewer) for UAI 2024 and COLT 2024.
• Borja's paper A note on generalization bounds for losses with finite moments (with Yours Truly, Ragnar Thobaben and Mikael Skoglund) is accepted in ISIT 2024 (9 April).
• Invited to join the EPSRC Peer Review College (18 March).
• Check out the website of the UKRI AI CDT in Decision Making for Complex Systems.
• Invited to join the editorial board of the journal DMLR (21 January), to serve as Action Editor (AE).
• (Jan. 1st) Received the new year in the company of my long-term collaborator.

2023

• Career update: In 2024 I'll be joining the Department of Computer Science at The University of Manchester.
• Gave a talk at the AI-Fun Research Seminar, Manchester Centre for AI Fundamentals, 29 Nov. 2023.
• Served as Area Chair (Meta-Reviewer) for ALT 2024 and AISTATS 2024.
• I was at the ML in PL 2023 conference, 26 - 29 October in Warsaw, where I gave a contributed talk.
• I was at the ELLIS Robust ML Workshop, 23 - 24 September in Espoo, Finland.
• I was at the Cambridge Ellis Unit Summer School on Probabilistic Machine Learning, 17 - 21 July 2023.
• I was at the workshop Numerical Methods for Mean Field Games and related PDE, 6 - 7 July 2023.
• I was at the Distance-based methods in Machine Learning workshop at UCL, 27 - 28 June 2023.
• I was at the seventh London Symposium of Information Theory (LSIT), 24 - 26 May 2023.
• Served as Area Chair (Meta-Reviewer) for UAI 2023.
• Check out the Sample Space podcast episode with Sam Tickle.
• (March 14) Celebrating "pi day" and the 1-year anniversary of my group Data, Environments, and Learners: Theory and Algorithms (DELTA).
• (Feb. 1st) 1-year anniversary in the post of IMSS Senior Research Fellow, Department of Statistical Science. Things are looking up!
• (Jan. 1st) Received the new year in the company of most outstanding visitors.

2022

• I was in Dallas, Texas (13 - 18 November) representing UCL at Supercomputing 2022.
• I was in Bristol (7 - 8 November) for the UKRI Inter CDT conference.
• I was in Warsaw (4 - 6 November) for the ML in PL 2022 conference, where I gave a contributed talk.
• Served as Area Chair (Meta-Reviewer) for AAAI 2023 and AISTATS 2023.
• The MAPS Faculty featured This Spotlight about Yours Truly in the Faculty Focus - September edition. Check it out!
• Gholamali and Roberto's paper Semi-Counterfactual Risk Minimization Via Neural Networks was accepted (15 July) and presented (20 September) at EWRL 2022.
• I was in Bristol (23-24 June) for the Bristol Sequential Learning Workshop and gave a talk there.
• I'm a member of the London Mathematical Society.
• (March 14) Celebrating "pi day" and the launch of my group Data, Environments, and Learners: Theory and Algorithms (DELTA).
• I'm a Fellow of the Royal Statistical Society and the Institute of Mathematics & its Applications.
• (Feb. 1st) New post: IMSS Senior Research Fellow at the Department of Statistical Science (UCL).
• Joined by invitation the roster of co-supervisors for the ELLIS PhD & Postdoc program.
• Starting the new year with my new UK visa, Tier 1 (Global Talent).

2021

• Career update: Received and accepted an offer for the post of IMSS Senior Research Fellow with the Department of Statistical Science at UCL.
• Maria's paper Progress in Self-Certified Neural Networks (with Yours Truly, Emilio, Benjamin, and John) is accepted in NeurIPS 2021 workshop Bayesian Deep Learning (November 1st).
• Agnieszka's paper Towards better visual explanations for deep image classifiers (with Amal, Yours Truly, and Andras) is accepted in NeurIPS 2021 workshop eXplainable AI (October 17th).
• Joined UCL Mathematics as UCL EPSRC Research Associate in Mathematical Sciences (October 1st).
• Ilja's paper On the Role of Optimization in Double Descent: A Least Squares Study (with Csaba, Yours Truly, Amal, and Razvan) is accepted in NeurIPS 2021 (September 28th).
• Maxime's paper PAC-Bayes unleashed: generalisation bounds with unbounded losses (with Benjamin, Yours Truly, and John) is accepted in Entropy (September 25th).
• Maria's paper Tighter risk certificates for neural networks (with Yours Truly, John, and Csaba) is accepted in JMLR (August 15th).
• Got notified that I am the successful applicant for UCL EPSRC Research Associate in Mathematical Sciences (August 12th).
• Left DeepMind (June 18th) after my 3-year internship contract ended.
• I am a member of the ELLIS society.

2020

• Wrote A note on a confidence bound of Kuzborskij and Szepesvári (check it out!)
• Maria's short paper Towards self-certified learning: Probabilistic neural networks trained by PAC-Bayes with Backprop (with Yours Truly, Csaba, and John) was presented at the NeurIPS 2020 workshop Beyond BackPropagation.
• My paper PAC-Bayes Analysis Beyond the usual Bounds (with Ilja, Csaba, and John) was presented at NeurIPS 2020.
• Laurent's paper Logarithmic Pruning is All You Need (with Marcus and Yours Truly) was presented at NeurIPS 2020.

2019

• Short paper PAC-Bayes Analysis Beyond the usual Bounds (with Ilja, Csaba, and John) was presented at the NeurIPS 2019 workshop Machine Learning with Guarantees.

2018

• My paper PAC-Bayes bounds for stable algorithms with instance-dependenr priors (with Emilio, John, Shiliang, and Csaba) was presented at NeurIPS 2018.
• Joined DeepMind (June 25th) for a 3-year internship in parallel with my research studies at UCL.

2017

• Relocated to the UK (November 11) and joined UCL (November 27) for research studies in machine learning, sponsored by DeepMind.