IEEE Young Professionals Windsor Section presents:

“How Machine Learning Helps Find Relevant Biomarkers in Cancer”

About the Topic:Machine learning, a field of artificial intelligence, has been successfully used for data analysis in many different applications, including transcriptomics, cancer research, life science, finance, and many others. Biotechnological tools for next generation sequencing has produced very large datasets which are difficult to analyze without the help of specialized learning algorithms.In this talk, machine learning approaches for finding relevant
transcripts and potential proteins associated with cancer diagnosis, prognosis and treatment will be discussed. Some
results and interpretation of biomarkers in prostate cancer progression and scoring will be presented.

Speaker: Dr. Luis Rueda, Professor Univ of Windsor School of Computer Science

Speaker Bio: His research interests are mainly focused on theoretical and applied machine learning and pattern recognition, mostly in the fields of transcriptomics, interactomics and genomics with applications to cancer research. He holds three patents on data encryption and has published more than 120 publications in prestigious journals and conferences in machine learning and bioinformatics.

Date: 21st June 2017

Time: 11 AM to 12:30 PM EST/EDT

Location: Room 3000, CEI, University of Windsor. 401 Sunset Avenue, Windsor, Ontario, Canada. N9B 3P4

Seats are Limited.

Click Here to Register

For more details please contact:

Mojtaba Kordestani , Chair IEEE Young Professionals Windsor Section