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Schools
From October 9, 2024 to October 11, 2024

All day

Place: ICFO Auditorium

Ahmad Hosseinizadeh (University of Wisconsin-Milwaukee)

LECTURE:

"Manifold-based Machine Learning for Data Analysis"

SEMINAR:

"Dynamics from Noisy Data with Significant Timing Uncertainty"

Bio:

Dr. Ahmad Hosseinizadeh is an assistant professor in the Department of Physics at the University of Wisconsin-Milwaukee, USA. He received his PhD in theoretical physics from Laval University, Canada, in 2010. Before his current position, he worked as a research associate and scientist at UW-Milwaukee. His research interests cover different topics in theoretical and computational physics and biophysics. At present, his work centers around the development of novel methods for analyzing experimental data from biological molecules to understand their structure and function. A particular focus of his research is developing data-driven machine learning algorithms to extract the ultrafast structural dynamics of biomolecules at high spatial and temporal resolutions using time-resolved X-ray free-electron laser data.

 

Schools
From October 9, 2024 to October 11, 2024

All day

Place: ICFO Auditorium

Ahmad Hosseinizadeh (University of Wisconsin-Milwaukee)

LECTURE:

"Manifold-based Machine Learning for Data Analysis"

SEMINAR:

"Dynamics from Noisy Data with Significant Timing Uncertainty"

Bio:

Dr. Ahmad Hosseinizadeh is an assistant professor in the Department of Physics at the University of Wisconsin-Milwaukee, USA. He received his PhD in theoretical physics from Laval University, Canada, in 2010. Before his current position, he worked as a research associate and scientist at UW-Milwaukee. His research interests cover different topics in theoretical and computational physics and biophysics. At present, his work centers around the development of novel methods for analyzing experimental data from biological molecules to understand their structure and function. A particular focus of his research is developing data-driven machine learning algorithms to extract the ultrafast structural dynamics of biomolecules at high spatial and temporal resolutions using time-resolved X-ray free-electron laser data.