The KIT Graduate School Computational and Data Science (KCDS) at KIT Center MathSEE is excited to present a special edition of the KCDS Talks in February, where KCDS Fellows will showcase their cutting-edge research. This event offers a glimpse into the innovative work being done by the next generation of computational and data scientists.
 
Join us to hear from four talented fellows as they present their fascinating research topics:
 
Gabriel Mejia Ruiz (KIT SCC)
"Trainability of Data-Driven Quantum Models"
Gabriel will explore the challenges and possibilities of training quantum models using data-driven approaches and discuss their implications for of quantum computing.
 
Louise Kluge (KIT SCC)
"Efficient Bayesian Inference in Cosmological Simulations: A Challenge in Uncertainty Quantification"
Louise will delve into how Bayesian inference can be applied to large-scale cosmological simulations, particularly focusing on methods to address uncertainty quantification.
 
Lisa Leimenstoll (KIT STAT)
"Estimating Causal Relationships in Extremes for Time-Dependent Data"
Lisa will present her research on extreme value theory and time-dependent data, particularly focusing on estimating causal relationships in extreme events.
 
Lilly Osburg (KIT SCC)
"Exploitation of Humanities Data for Big Data Analysis"
Lilly will explore how data from the humanities can be exploited for large-scale analysis using big data techniques, shedding light on interdisciplinary research opportunities.
 
Following the talk, there will be a discussion with the speakers, offering attendees the opportunity to ask questions and engage in conversation about the topic. The session will be hosted by Lilly Osburg and Lukas Frank.
 
Snacks and Drinks & Networking Opportunity: After the event, there will be food provided, offering an excellent opportunity to network with the speakers and other attendees. Make the most of this chance to connect and discuss ideas with fellow researchers and professionals.
 
Whether you're a student, researcher, or simply curious about the latest trends in computational science, this event will provide valuable insights into diverse and impactful research areas.
 
Join us in person or via Zoom – the event is free and open to all without prior registration.