What is about

UMass Data Science Seminar is for everyone who is either interested or experienced in the methods and application of machine learning in data science. We want to build a community of data science researchers and practioners in Umass Lowell that can share knowledge, projects, and experience. Our events usually take place on North Campus of UMass LowellWednesday and include two parts: a lecture focusing on topics in deep learning at 3:30-4:40pm; and a sminar talk by invited speaker at 5:00-6:20pm. If you would like to present at the seminar, please email one of the organizers: Hong YuYonghao Jin.

 

Fall 2018 Speaker List

DateSpeakerTitleAffiliation
2018-09-12 Hong Yu Advance Drug Safety Research with Semantic Analysis of Electronic Health Records  UMass Medical School 
2018-09-19  Gang Luo Automating Machine Learning Model Building with Clinical Big Data University of Washington
2018-09-26 John Lalor IRT in machine learning/NLP  UMass Amherst 
2018-10-03 Alexander M. Rush  TBA  Harvard University 
2018-10-10 Hojjat Salmasian Data Science and Evaluation for Healthcare Quality Improvement Brigham and Women's Hospital 
2018-10-17 M. Brandon Westover  TBA  Harvard Medical School
2018-10-24 Wei Ding TBA UMass Boston 
2018-10-31  Baotian Hu   UMass Lowell 
2018-11-07 Abhyuday Jagannatha     
2018-11-14  Robert J. Goldberg TBA  UMass Medical School
2018-11-28  Philip S. Thomas TBA   
2018-12-05      

 

 

Fall 2018 Lecture Schedule

DateLecturerTopics
2018-09-12  Hong Yu Introduction 
2018-09-19 John Lalor Evaluation and Interpretability of Deep Learning
2018-09-26 John Lalor Evaluation and Interpretability of Deep Learning
2018-10-03 John Lalor Evaluation and Interpretability of Deep Learning
2018-10-10 Fei Li Multi-task Learning
2018-10-17 Fei Li Multi-task Learning
2018-10-24 Fei Li Multi-task Learning
2018-10-31 Abhyuday Jagannatha Reinforcement Learning
2018-11-07 Abhyuday Jagannatha Reinforcement Learning
2018-11-14 Abhyuday Jagannatha Reinforcement Learning
2018-11-28  Feifan Liu Learning Unbalanced Data 
2018-12-05  Feifan Liu Learning Unbalanced Data