PhD Candidate
About Me
I am a PhD candidate at the Amsterdam Machine Learning Lab at the University of Amsterdam, under the supervision of Sara Magliacane. My research focuses on causal machine learning, with a particular interest in discovering and leveraging causal information efficiently. I am passionate about creating systems that solve problems and strive for software craftsmanship when implementing them.
I am attending the Bellairs Workshop on Causality in Barbados, with the topic of Causality in the Era of Foundation Models.
14 Feb 2025
🎉 Our paper "SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph" has been accepted at AISTATS 2025! 🎉
27 Jan 2025
Our extended abstract titled "SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph" has been accepted at the Causal Inference Workshop at UAI 2024.
26 Jun 2024
I am attending a workshop on "Practical Problems of Causal Discovery with Real Data" at the University of Bremen, Germany. I am presenting my ongoing work on scalable targeted causal discovery.
6 Feb 2024
The Beyond the Imitation Game benchmark (BIG- bench), that I contributed to, has been accepted at TMLR, as a paper titled "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models".
11 May 2023
Experience
PhD Candidate
University of AmsterdamCurrently, I am a PhD candidate in causality-inspired ML/RL.Teaching Assistant
University of AmsterdamI was a teaching assistant for the Natural Language Processing 1 course. My responsibilities included running the lab sessions, and grading assignments and exams.Software Developer
EricssonAs part of a continuous integration and continuous delivery team, my responsibilities included managing developer environments, test and build pipelines, and developing a deployment software for complex cloud-based applications.
Education
MSc Artificial Intelligence
University of AmsterdamI finished the Artificial Intelligence MSc programme where I got familiar with machine learning and causality. My thesis investigated long-term credit assignment in reinforcement learning.Erasmus Exchange Student
Vrije Universiteit AmsterdamSpent a semester as an Erasmus student at VU. I worked with students from all backgrounds ad used english in my studies and also in my everyday life during my whole stay.BSc Computer Science
Eötvös Loránd UniversityI finished the Computer Science BSc programme where I specialized in software design and algorithm correctness. For my thesis project I developed an interactive GUI for the trace module of the BPF Compiler Collection.