Generative AI for Molecular Engineering
Talk, AI in Drug Discovery and Biomedicine, IRB Barcelona
Upcoming talks
Engineering Molecules to Specification With Generative AI
Talk, 2nd Nordic Computational Chemistry Conference, AstraZeneca
Engineering Molecules With AI
Talk, Science Fika, Chalmers
Department of Chemistry, Chalmers
Recent talks
Engineering Molecules With AI
Talk, Invited Seminar, Chalmers
Höök Group Meeting (Guest), Department of Physics, Chalmers
Engineering Molecules to Specification With AI
Talk, WISE Lunch Seminar, Chalmers
Workforce for Inclusive SciencE (WISE), Department of Electrical Engineering, Chalmers
An integrated molecular dynamics and deep learning framework for multi-modal materials data
Talk, Intel-Merck AWASES Kick-off Meeting, Virtual
Intel-Merck AWASES Program Kick-off Meeting
Next-gen drug design with machine learning
Talk, Generative AI in Life Science, University of Copenhagen
Machine learning-accelerated electrolyte modelling and design
Talk, WISE Dialogue 2024, Chalmers
Generative models for drug development
Lecture, SK00037 AI in Healthcare, University of Gothenburg (GU)
Deep generative models for biomolecular engineering
Talk, The International Symposium on Machine Learning in Quantum Chemistry, Uppsala University
Tranforming biomolecular engineering through AI
Talk, DDLS Annual Conference, Karolinska Institutet
Deep generative models for biomolecular engineering
Talk, Invited Seminar, Aalto University
Aalto University
Deep generative models for biomolecular engineering
Talk, 18th Scandinavian Symposium on Chemometrics, Chalmers
From coding to cures: how computers help scientists design better medicines
Talk, Girls Code Club, Chalmers
Girls Code Club (guest lecture)
Deep generative models for biomolecular engineering
Talk, Department of Physics, Chalmers
Condensed Matter Seminar
Deep generative models for biomolecular engineering
Talk, IMDEA Materials, Madrid, ES
IMDEA Materials Seminar
DSAI Seminar: deep generative models for biomolecular engineering
Talk, Section for Data Science and AI, Department of Computer Science and Engineering, Chalmers
DSAI Seminar Series
Deep generative models for biomolecular engineering
Talk, HITS, Heidelberg, DE
Panelist for ‘Everyday research challenges in AI for automated materials design’
Panel, NeurIPS AI for Accelerated Materials Design (AI4Mat) Workshop, New Orleans, LA, USA
Exploring new frontiers in drug discovery using deep generative models
Talk, ML for Chemistry and Beyond Seminar Series, Virtual
Workshop on Diversity
Panel, WASP Diversity and Inclusion Group (DIG), Online
Meta-learning for optimization of small molecule binders
Lightning Talk, Machine Learning in Drug Discovery (MLDD) Symposium, Broad Institute
An introduction to deep generative models and their use in drug discovery
Lecture, AIDD Course, Online
Deep molecular generative models for drug discovery and optimization
Talk, MIT-Takeda Series,
ML + AI for Target Discovery Through Pre-Clinical Research
Data-driven therapeutics development: from de novo drug design to precision medicine applications
Talk, KTH Royal Institute of Technology, Online
Machine learning for de novo drug design
Talk, AAAI AI to Accelerate Science and Engineering (AI2ASE) Workshop, Online
Artificial intelligence of drug discovery
Talk, Skype A Scientist LIVE, Online
Constructing an edifice of life and science with Rocío Mercado (MIT)
Podcast, Random Walks Podcast, Online
Accelerating molecular design using graph-based deep generative models
Talk, Graph Machine Learning in Industry, Online
Accelerating molecular design using deep generative models
Talk, DYSS 2021, Online
Applying graph networks to molecular design
Talk, NeurIPS ML4Molecules Workshop, Online
Molecular design using GraphINVENT
Talk, GAIA Conference 2020, Online
Molecular design using graph neural networks
Talk, IIT Hyderabad Department of Physics, Online
Graph-based de novo molecular design using deep learning
Talk, GAIA Meetup, AstraZeneca Gothenburg, Mölndal, Sweden
Molecular design using graph-based deep learning methods
Talk, 15th GCC Mainz, Mainz, Germany