Track / Overview

Presented Posters:

1.     The Perfect Moment – Predicting the optimal time to sell flight ancillaries - Akshansh Singh - Data Scientist, zeroG & Lufthansa Group

2.     Detecting DGA Malware Domain Names with Ensemble of Deep Learning Models - Kuan Tung - Data Science Intern, Open Systems

3.     Threat Detection and Triage with Graph-based ML​ - Sergio Roldán Lombardía - Data Scientist, Open Systems AG

4.     Explainable, graph-based Autism Spectrum Disorder classification - Alan Perotti - Researcher, ISI Foundation

5.     A worldwide online diabetes observatory: integrating perspectives from people with diabetes for better patient-centered care - Charline Bour - PhD Student, Luxembourg Institute of Health

6.     How to Build Data-driven Models with Less Data: NLP use-case in Healthcare - Heereen Shim - PhD candidate @ KU Leuven / PhD researcher @ Philips Research

7.     Sharing without sharing: Revolutionizing secure data collaborations in healthcare - Juan R. Troncoso Pastoriza - CEO / Co-founder, Tune Insight SA

8.     AI- driven teledermatology for pediatric skin conditions in sub-Saharan Africa - Philippe Gottfrois - PhD student, Basel university

9.     Heterogeneous Graph Learning for Drug Repurposing in Lung Cancer - Sophia Krix - M.Sc., Roche

10.  Improve generalisability of survival models utilising historical clinical data - Tao Xu - Senior data scientist, Roche

11.  KI@Home: Predicting health development in elderly living in smart homes - Xenia Klinge - M.A., DFKI

12.  Multitask prompted engineering for patents - Dimitrios Christofidellis - PhD student, IBM Research Europe

13.  Improving hotel2vec representations learning - Niccolò Stefanini - Student@ EPFL | Machine learning scientist intern@ Expedia Group

14.  Machine Learning with GDPR Data? Oh, yes! - Rita Korányi - Scientific Assistant, HSLU

15.  ML based Cause of Failure Analysis in Injection Molding & Metal Machining - Thomas Wuhrmann - Head of Innovation Lab, Kistler Instrumente AG

16.  SPEX: Towards comprehensive cloud-based ecosystem for managing and analyzing spatially resolved omics data - Ximo Pechuan Jorge

17.  Deep learning via message passing algorithms based on belief propagation - Carlo Lucibello - Assistant Professor, Bocconi University

18.  Statistical physics through the lens of Real-Space Mutual Information - Doruk Efe Gökmen - PhD student, ETH Zurich

19.  Error rates for kernel methods under source and capacity conditions - Hugo Cui - PhD student, EPFL

20.  Solving epidemic inference problems through generative neural networks - Indaco Biazzo - postdoc, EPFL

21.  Theoretical characterization of uncertainty in high-dimensional linear classification - Lucas Clarté - PhD Student, EPFL

22.  Droplet tracking in microfluidics using computer vision - Mihir Durve - Postdoc, Italian Institute of Technology (IIT), Rome, Italy

23.  Deep Learning Potentials from BEC density samples in real and momentum space - Miriam Büttner - Ph.D. student

24.  Learning through atypical ''phase transitions'' in overparameterized neural networks - Rosalba Pacelli - PhD student, Politecnico di Torino

25.  Optimized Deep Learning Inference on High Level Trigger at the LHC: Computing time and Resource assessment - Syed Anwar Ul Hasan - Postdoctoral Research Fellow, Scuola Normale Superiore di Pisa and CERN

26.  ML & QML for Regulations and Logistics graph analytics - Daniel Adam Dobos - Dr, gluoNNet AG, Lancaster University, CERN

27.  Real-time Monitoring and Anomaly Detection of Swisscom’s Network and Business Process Data - Almerima Jamakovic-Kapic - Senior Data Scientist & AI Engineer

28.  A physics-based representation for chemical reactions - Puck van Gerwen - PhD student, EPFL

29.  Food Recognition with Transformer models - Olivier Quôc-Vinh Lam - Master Student, EPFL/Nestle

30.  Empowering the Human Resources Industry with AI and Natural Language Processing​ - Alejandro Jesús Castañeira Rodríguez - Lead Data Scientist

31.  From 1 day to 1 hour for cell tower inspection - Andrea Dotti - Senior Manager, Pix4D

32.  Goal-directed Generation of Molecules with Conditional Generative Models - Amina Mollaysa - University of Applied Sciences, Western Switzerland

33.  Visualizing, Exploring and Understanding Chemical Space - Markus Orsi - PhD Student, Universität Bern

34.  Interpretable embeddings from molecular simulations using Gaussian mixture variational autoencoders - Yasemin Bozkurt Varolgünes - Postdoc, Max Planck Institute for Polymer Research

35.  Obtaining insights for the emotional well-being of cancer patients by the use of NLP on their social media and browser history - Georgia Pantalona - Research Associate, CERTH/ITI

36.  Towards Exploiting Automatic Speech Recognition Error For Generating Synthetic Clinical Speech Data - Hali Lindsay - M.Sc., German Research Center for Artificial Intelligence

37. Deep learning models that predict Geographic Atrophy progression and their impact on clinical trials - Verena Steffen - Principal Statistical Scientist, Roche

AMLD EPFL 2022 / Tracks & talks

AMLD Keynote Session – Monday morning

Marcel Salathé, Lenka Zdeborová, Carmela Troncoso, Chiara Enderle, Patrick Barbey, Thomas Wolf, Gunther Jansen, Laure Willemin, Simon Hefti, Arthur Gassner

10:00-12:00 March 28Auditorium A

AI & Physics

Francesca Mignacco, Gert-Jan Both, Michael Unser, Thomas Asikis, Dalila Salamani, Pietro Rotondo, Tom Beucler, Giulio Biroli

12:30-18:00 March 285BC

AI & Pharma

Asif Jan, Jonas Richiardi, Patrick Schwab, Naghmeh Ghazaleh, Alexander Büsser, Carlos Ciller, Caibin Sheng, Silvia Zaoli, Félix Balazard, Giulia Capestro, Marianna Rapsomaniki, Martijn van Attekum

13:30-17:30 March 281BC

AMLD / Global partners