COSHE seminars

The COSHE seminars usually take place on Mondays at 15:00 at Geocentrum I. Occasionally the CEC calendar will give details about dates and speakers.

Lund University staff and students can find up-to-date information and abstracts on the COSHE Wiki (accessible from within LU or with LU VPN).

Listed below are the talks since COSHE was formed. Many cross-disciplinary talks in the same vein were given at the earlier CBBP seminars.

Upcoming talks

• Nov 24: Jimmy Kornelije Gunnarsson, Mathematics
  Notes on the Flory-Huggins theory for dynamic liquid-liquid interactions
• Dec 01: Hakim Abdi, CEC
  Mapping tree species in Swedish forests using Sentinel-1/2 satellite data and machine learning
• Dec 08: Erik Clarkson, COSHE
• Dec 15: Mikkel Andersen, Physics

Past talks

2025

• Oct 27: Farrukh Javed, Statistics
  Reliable leukemia detection via transfer-enhanced Bayesian CNNs
• Oct 20: Johan Lindström, Mathematical Statistics
  Spatial statistics for environmental data: Some examples and case studies
• Oct 13: Andrey Anikin, Philosophy
  What makes baby cries impossible to ignore? Measuring auditory attention and annoyance
• Oct 06: Vincent Brebion, COSHE
  Machine-learning-based fusion of multimodal, multidimensional, and heterogeneous data with potentially missing modalities – An application to stroke etiology classification
• Sep 29: Tobias Ambjörnsson, COSHE
  Photophysical Image Analysis and probabilistic image thresholding
• Sep 15: Markus Heidrich, Immunotechnology
  Prediction of single cell expression from low-plex immunofluorescence images for guiding precision oncology
• Sep 01: Zheng Zhou, COSHE
  A probabilistic network approach to optimize in vitro standard battery for genotoxicity testing
• Aug 25: Jarno Vanhatalo, University of Helsinki
  Bayesian integrated data models for Baltic ringed seal dynamics and fish distribution
• May 19: Alexander Degener, COSHE
  Reprogramming glial cells to PVALB neurons – a computational study
• May 12: Emil Andersson, Eötvös Loránd University
  Dog Brains, DNA and collective animal behaviour: a year as a computational biology consultant
• Apr 28: Rahul Manavalan, Mathematical Statistics
  Solving and learning PDEs using Gaussian processes
• Apr 14: Mengwu Guo, Mathematics
  Probabilistic methods for learning compact dynamical representations of nonlinear systems
• Mar 31: Mikael Lund, Computational Chemistry
  Molecular modelling: from seawater to proteins
• Mar 27: Erik Aurell, KTH
  Two fitness inference schemes compared using allele frequencies from 1068391 sequences sampled in the UK during the COVID-19 pandemic
• Mar 17: Thomas Eriksson, COSHE
  Deep learning and large language models for public health surveillance and pandemic preparedness using individual-level data from population and health care registers
• Mar 10: Isabel Hendriks, Functional Ecology
  AI-based gelatinous zooplankton monitoring
• Feb 24: Rhiannon Mondav, CEC
  The global inland water microbiome, a story built from public datasets and messy metadata
• Feb 17: Ingemar André, Biochemistry and Structural Biology
  Predicting and designing protein structure in the age of artificial intelligence
• Feb 03: Carl Troein, COSHE
  Developing graphical user interfaces in Python or R
• Jan 27: Lucas Knuthson, COSHE
  Folding lattice proteins confined on minimal grids using quantum-inspired encoding
• Jan 20: Paulina Ibek, COSHE
  Advancing precision diagnostics for delineation of basal cell carcinoma in hyperspectral images

2024

• Dec 09: Lars Eklundh, Physical Geography
  Earth observation for land resource monitoring
• Nov 25: Jennie Karlsson, Mathematics
  Point-of-care ultrasound combined with deep learning for breast cancer detection in low resource settings
• Nov 18: Raimund Muscheler, Geology
  The cosmic ray environment around Earth over the past 100 000 years
• Nov 11: Ullrika Sahlin, COSHE
  Bayes factor and how to understand the probability of a model
• Nov 04: Carlos Muñoz, COSHE
  What I am planning to do in my PhD - A Modelling Approach to Biodiversity Measurement and Management
• Oct 21: Aboma Merdasa, Ophthalmology
  Toward digital health care with optical spectroscopy & imaging
• Oct 14: Ivan Scheblykin, Chemical Physics
  Memlumors: using luminescence for calculations
• Sep 23: Vincent Brebion, COSHE
  Introduction to some of my past works in computer vision
• Sep 16: Axel Nyström, COSHE
  Classifying OMI at the emergency department
• Jun 17: Dibya Mohanta, COSHE
  Improvement in theory and simulation in barcode analysis for Optical DNA mapping (ODM)
• Jun 10: Filippa Hansen and Lycke Fureby, LTH / Modulai
  Domain adaption of retrieval systems from unlabeled corpora for RAG applications
• Jun 03: Ola Olsson, Biology
  High throughput pollen analysis based on deep neural networks
• May 20: Erik Clarkson, COSHE
  Analysis of single biomolecule trajectories
• Apr 22: Oxana Klementieva, Medical Microspectroscopy
  Imaging heterogeneous samples using multimodal multi scale modalities
• Apr 15: Tom Pugh, Physical Geography
  Developing model-based hypotheses of plant functional trait distributions across the world's forests
• Apr 08: Max Olsson, Respiratory Medicine, Allergology, and Palliative Medicine
  Factors most strongly associated with breathlessness in a population aged 50–64 years
• Mar 18: Martin Eriksson, CEC
  Eco-evolutionary responses to land-use changes in pollinating insects
• Dec 11 2023: Zheng Zhou, COSHE
  Comparing platforms of benchmark dose modelling