Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
talks
Fully decoupled time-marching schemes for incompressible fluid/thin-walled structure interaction
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Conference presentation on fully decoupled time-marching schemes for incompressible fluid and thin-walled structure interaction.
Recent developments in explicit Robin-Neumann schemes for fluid-structure interaction
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Conference presentation on recent developments in explicit Robin-Neumann schemes for fluid-structure interaction.
Splitting schemes for fluid/thin-walled structure interaction using unfitted meshes
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Poster presentation on splitting schemes for fluid and thin-walled structure interaction using unfitted meshes.
Nitsche-XFEM for the coupling of an incompressible fluid with immersed thin-walled structures
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Conference presentation on Nitsche-XFEM methods for coupling an incompressible fluid with immersed thin-walled structures.
Nitsche-XFEM for the coupling of an incompressible fluid with immersed thin-walled structures
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Seminar talk on Nitsche-XFEM methods for coupling an incompressible fluid with immersed thin-walled structures.
Nitsche-XFEM formulations and splitting schemes for the coupling of an incompressible fluid with immersed thin-walled structures
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Conference presentation on Nitsche-XFEM formulations and splitting schemes for coupling an incompressible fluid with immersed thin-walled structures.
Coupling schemes for the FSI forward prediction challenge: comparative study and validation
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Conference presentation on coupling schemes for the FSI Forward Prediction Challenge, with a comparative study and validation focus.
Coupling schemes and unfitted mesh methods for fluid-structure interaction
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Conference presentation on coupling schemes and unfitted-mesh methods for fluid-structure interaction. Participant in the ECCOMAS PhD Olympiad 2017.
Numerical approximation of the electromechanical coupling in the left ventricle with inclusion of the Purkinje network
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Workshop talk on numerical approximation of electromechanical coupling in the left ventricle, including the Purkinje network.
Improving Exploration in Policy Gradient Search
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Workshop talk on improving exploration in policy-gradient search for symbolic optimization problems.
Discovering symbolic policies with deep reinforcement learning
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Conference presentation on discovering interpretable symbolic policies with deep reinforcement learning.
Deep Symbolic Optimization: A framework for symbolic optimization using Deep Learning
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Workshop talk introducing Deep Symbolic Optimization as a framework for symbolic optimization using deep learning.
Intracardiac Electrical Imaging Using the 12-Lead ECG: A Machine Learning Approach Using Synthetic Data
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Conference presentation on intracardiac electrical imaging from 12-lead ECGs using machine learning trained with synthetic data.
Deep Symbolic Optimization for Scientific Discovery
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Symposium talk on deep symbolic optimization as a framework for scientific discovery across symbolic regression, control, and other structured design problems.
Deep Symbolic Optimization: Reinforcement Learning for Equation Discovery
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Keynote talk on deep symbolic optimization and reinforcement learning for equation discovery at AI for Science 2025.
Autoresearch Discovery of Interpretable Filter Rules for Antibody Binder Classification
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Invited talk to NVIDIA’s Digital Biology / BioNeMo and Fundamental Generative AI Research teams on an “autoresearch” loop in which an LLM acts as an automated experimenter: it proposes interpretable filter rules over signals already available in a design pipeline (AlphaFold3 confidence, ProteinMPNN, antibody structural self-consistency), evaluates them under strict held-out protocols, logs each result, and iterates. Across several benchmark datasets the loop discovers compact, human-readable scoring rules that reach parity with supervised ML and state-of-the-art LLM prompting, with no model training and no LLM call at inference. The talk closes by framing the loop as symbolic regression with an LLM in the experimenter’s seat, connecting it to the interpretable-ML and equation-discovery line of work.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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