Georgia Tech Institute for Electronics and Nanotechnology Presents: NANOFANS FORUM

The focus of this event will be "Trends in Machine Learning for Biology." Machine learning (ML) in the field of biology has multiple applications, ranging from natural language processing to healthcare. ML through deep learning algorithms extracts meaningful information from huge datasets such as genomes or a group of images and builds a model based on the extracted features. The model is then used to perform analysis on other biological datasets. ML has been applied to many various biological domains, such as genomics, proteomics, phylogenetics, systems biology, text mining, microarray data analysis, and other areas that include primer design, image analysis, and experimental data management. IEN’s 27th NanoFANS forum will explore the emerging trends in the area of machine learning for biology. Speakers will include Regents` Professor David Sherrill, Regents` Professor Jeffrey Skolnick, Professor Hannah Choi, and Professor King Jordan from the Georgia Institute of Technology who will discuss their current research activities in the area of machine learning for biology. 

Please register for the NanoFANS Forum by June 19, 2023. Lunch will be provided!  

After the talks, an optional tour of the state-of-the-art IEN Cleanrooms and labs will be available for interested participants. Please let us know if you are interested in taking a tour.