EDIC Open House

Welcome!

Our Open House for admitted EDIC fellowship students run for two days, from Tuesday, March 17 to Wednesday, March 18, 2026.

We planned a large number of short talks and group events, as well as plenty of opportunities for one-on-one meetings with IC faculty and students. These meetings are a great opportunity for attendees to learn more about the research we do, as well as ask all the questions about PhD student life at EPFL and in Lausanne.

We are looking forward to meeting you in September!

Thomas Bourgeat and Patrick Thiran, 2026 EDIC Open House Chairs

Schedule 2026

Day 1 – Tuesday, March 17
TimeProgramRoom
08:45-09:15Registration & welcome coffeeBC 430
09:20-12:30Welcome presentation & Lightning talks in 2 parallel tracksBC 420/410
12:30-14:00Standing lunch break & Poster SessionBC Hall
14:00-18:00One-on-one meetings
14:00-17:00Coffee time in the labs
18:00-19:00EPIC presentation & Campus tourINM 065
20:00 onDinner in town
Day 2 – Wednesday, March 18
TimeProgramRoom
09:00-12:00One-on-one meetings & Coffee time in the labs
12:00-12:20Closing remarksBC 420
12:30-13:45Lunch break
14:00-18:00One-on-one meetings & Coffee time in the labs
18:00 onApéro featuring board games, EPIC, and current PhDsINM 065

In case you missed it

Lightning talks
Parallel track 1
TimeTitle
10:10-10:25Wenzel Jakob, The Realistic Graphics Lab (recordings)
10:25-10:40Lenka Zdeborová, Learning theory in the age of attention (recordings)
10:40-10:55Maria Brbić, Multi-modal and Generative AI for Biomedical Discovery (recordings not available)
10:55-11:25Break
11:25-11:40Viktor Kuncak, Neuro-Symbolic Reasoning for Math and Software (recordings)
11:40-11:55Maryam Kamgarpour, Mathematical foundations of interactive decision-making (recordings)
11:55-12:10Charlotte Bunne, AI-Driven Simulation and Diagnostics for Precision Oncology (recordings)
Parallel track 2
TimeTitle
10:10-10:25Michael Gastpar, Information Measures, Universal Prediction, and Large Language Models (recordings)
10:25-10:40George Candea, Making Performance & Energy Programmable (recordings)
10:40-10:55Sanidhya Kashyap, Building Tomorrow’s Systems Software (recordings)
10:55-11:25Break
11:25-11:40Miranda Wei, Socio-technical Online Safety (recordings)
11:40-11:55Nate Foster, Networked Systems Abstractions Lab (recordings)
11:55-12:10Babak Falsafi, The Dawn of Rack-Scale Systems (recordings)

Poster List
Poster TitleLab
AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discoveryArtificial Intelligence in Molecular Medicine Lab (AIMM)
Towards Self-Recovery and Metadata Privacy in Social Vault Recovery with ApolloDecentralized and Distributed Systems Lab (DEDIS)
Dava Movement-Aware GPU Sharing for Data-Intensive SystemsData-Intensive Applications and Systems (DIAS)
Demystifying CXL Memory Bandwidth Expansion for Analytical WorkloadsData-Intensive Applications and Systems (DIAS)
Efficient Scheduling for Multiple Database Systems on Shared HardwareData-Intensive Applications and Systems (DIAS)
Harmonizing Data Systems, LLMs, and VectorsData-Intensive Applications and Systems (DIAS)
HPCache: Memory-Efficient OLAP through Proportional CachingData-Intensive Applications and Systems (DIAS)
Prodasys: PRincipled resource Optimization through declarative DAta SYStemsData-Intensive Applications and Systems (DIAS)
Taming Heterogeneity in the AI-driven Data LandscapeData-Intensive Applications and Systems (DIAS)
The Effectiveness of Compression for GPU-Accelerated Queries on Out-of-Memory DatasetsData-Intensive Applications and Systems (DIAS)
Static Typing Meets Adaptive Optimization: A Unified Approach to Recursive QueriesData-Intensive Applications and Systems (DIAS)/ Programming Methods Lab (LAMP)
Accelerating SSD Steady-State Analysis using a WAF-based Performance InterfaceDependable Systems Lab (DSLAB)
Fast End-to-End Performance Simulation of Accelerated Hardware–Software StacksDependable Systems Lab (DSLAB)
Performance Interfaces for PCIe TopologiesDependable Systems Lab (DSLAB)
The Case for Energy ClarityDependable Systems Lab (DSLAB)
Making SMT-Based Verification Less FrustratingDependable Systems Lab (DSLAB)/ Systems and Formalisms lab (SYSTEMF)
Practical Verification of System-Software Components Written in Standard C Dependable Systems Lab (DSLAB) / Systems and Formalisms lab (SYSTEMF)
Beyond Binary Trees: Finding General Hierarchieslnformation and Network Dynamics (INDY)
Data-Driven Learning of Contact Networks for Targeted Vaccination in Outbreakslnformation and Network Dynamics (INDY2)
Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholdslnformation and Network Dynamics (INDY1)
Anomaly Anything: Unseen Visual Anomaly GenerationIntelligent Maintenance and Operations Systems (IMOS)
Autoformalization and Theorem ProvingAutomated Reasoning and Analysis (LARA)
From Markov to Laplace: How Mamba In-Context Learns Markov ChainsLab for Information in Networked Systems (LINX)
Joint Consistency: A Unified Test-Time Aggregation Framework With Pairwise ComparisonsLab for Information in Networked Systems (LINX)
SCRIBE: Structured Chain Reasoning for Interactive Behavior Explanations using Tool CallingMachine Learning for Education (ML4ED)
Meta-RL Induces Exploration in Language AgentsMachine Learning for Biomedicine (MLBio)
Tissue Reassembly using Generative AIMachine Learning for Biomedicine (MLBio)
Fault Detection in Data Center NetworkNetwork Architecture Laboratory (NAL)
Flow/Path Performance ConsistencyNetwork Architecture Laboratory (NAL)
Optimal Silicon Efficiency in ServersParallel Systems Architecture Laboratory (PARSA)
PolyRack: Servers for the Post-Moore EraParallel Systems Architecture Laboratory (PARSA)
Single-Address-Space FaaS with JordParallel Systems Architecture Laboratory (PARSA)
The Interplay between Quantization and SparsityParallel Systems Architecture Laboratory (PARSA)
Uncovering FPGA Routing Convergence ParadoxParallel Systems Architecture Laboratory (PARSA)
Specialization of softmax attention heads: insights from the high-dimensional single-location modelStatistical Physics of Computation Laboratory (SPOC)
Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling LawsStatistical Physics of Computation Laboratory (SPOC)
Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning CurvesStatistical Mechanics of Inference in Large Systems (SMILS)
Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and ComputationSystems Control And Multiagent Optimization Research Lab (SYCAMORE)
Bootstrapping a verified compiler for an imperative language in RocqSystems and Formalisms Lab (SYSTEMF)
Interactive symbolic execution of concurrent programs in a theorem proverSystems and Formalisms Lab (SYSTEMF) and
Verification and Computer Architecture Lab (VCA)
Deep learning for measuring behaviorUPAMATHIS
Skill learning and modeling sensorimotor circuitsUPAMATHIS
Geometric Computing Lab DemoGeometric Computing Laboratory (GCM)

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