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
2019-09-04    
2019-09-11 Kun Chen, University of Connecticut    
2019-09-18 Byron Wallace, Northeastern University
A Sensitivity Analysis of (and Practitioners’ Guide to) ConvolutionalNeural Networks for Sentence Classification   
2019-09-25 Madalina Fiterau, UMass Amherst Deep neural decision forests   
2019-10-02 Mohit Iyyer, UMass Amherst  Deep contextualized word representations   
2019-10-09    
2019-10-16 Stephen Bach, Brown University Hinge-loss Markov random fields and probabilistic soft logic   
2019-10-23 Rocco Anthony Servedio, Columbia University  Learning k-Modal Distributions via Testing   
2019-10-30 Zak Kohane, Harvard University The electronic medical records and genomics (eMERGE) network: past, present, and future   
2019-11-06 Fei Wang, Cornell University Deep learning for healthcare: review, opportunities and challenges   
2019-11-13 Salil Vadhan, Harvard University  The complexity of differential privacy   
2019-11-20      

Topics: Foundations and Methods in Digital Health

 

Course Schedule

 

DateTitleLecturer
01/28 Introduction Hong Yu
02/04 Ontology + UMLS Hong Yu
02/11 Lab (MIMIC data practice) Weisong Liu
02/25 Information Retrieval + Lab (Lucene) Weisong Liu
03/04 Project 1: Lab (Lucene) Weisong Liu
03/18 Lab (Stanford core - NLP) Fei Li
03/25 Lab (Pytorch) Fei Li
04/01 Recurrent  Neural Network and Sequence Prediction Hong Yu
04/22 Project 2 (Named Entity Recognition) Fei Li
04/29 Project 2 (Named Entity Recognition) Fei Li
05/06 Project 3 (Sequence Prediction) Fei Li
05/13 Project 3 (Sequence Prediction0 Fei Li

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 

Our IRB recently notified us: “to protect the privacy interests of the subjects and the confidentiality of the data, the UMMS IRB does require that the data use agreement be signed by someone authorized by the receiving institution to enter into the agreement. This may be a privacy officer, legal counsel, a representative of the technology management office, etc. The signature of the receiving PI is insufficient.”

Could you please re-sign page 6 on the data-sharing agreement and return it to me? There should be 2 signatures: group leader’s signature on the top, and institution authorized person on the bottom corresponding to our privacy officer. Please see attachment for the agreement template.

Our previous message stated we could not transmit any data until we receive your IRB approval letter to receive our data. However, we understand many region’s IRB treat activities with de-identified data as non-human subject research. If this is your case, could you please provide a statement in pdf format stating you’ve verified with your institution that your IRB does not require approval to use our de-identified data?

The statement should have date, signature from your team organizer, and your institution’s official letter head. We are only allowed to transmit data after receiving either your IRB approval or your statement of no IRB required.

Due to the change in agreement signature requirement, we will postpone the initial data release date to Nov, 15, 2017. Please make sure to send us your re-signed agreement and IRB approval letter (or statement of no IRB required) to avoid delays in receiving the data.

 

Download the latest agreement form