Skip to main content

Open Challenges in Data Science

Eugene Wen, David Kierstead, Amir Hejazi, and Albert Hoang
Manulife Corp.

3:45pm May 10th
MC 5501

The talk will be followed by a networking reception in MC 5501.


Manulife’s Advanced Analytics teams translate complex data into insights. We use machine learning and other predictive modelling techniques to predict the likelihood of future events and optimize outcomes. Four use cases we believe data science can improve the customer experience are: 

1)      Predictive Underwriting - Buying a life insurance product can be a lengthy and time-consuming process. How can predictive analytics improve the underwriting approval process?
2)      Fraud Detection – The daily volume of insurance claims is extremely large and identifying fraudulent claims can be a very challenging task. How does supervised machine learning and anomaly detection techniques play a role in identifying such fraudulent claims?
3)      Speech Analytics - We have billions of customer voice recordings. How can we use this data to improve the customer experience?
4)      Image Analytics -  Our life insurance applicants must provide a lot of information to be underwritten for a policy. Can we improve this process by extracting features from a photo?
We will discuss our approach to solving these challenges and facilitate an open discussion with attendees to create an engaging and productive seminar.

Speaker Bios:
Eugene Wen, VP Group Advanced Analytics
Eugene is leading a data science team for Group Functions and building Center of Expertise (COE) for Advanced Analytics. He has Doctor of Public Health (D.Ph.) from University of Texas.   

Dave Keirstead, AVP, Advanced Analytics, Canadian Division
Dave is a University of Waterloo alumnus and a passionate leader of the Canadian Division Advanced Analytics team. He has gained a wealth of experience in various analytics-related roles over his 10-year tenure with the company.

Amir Hejazi, Data Scientist, Group Advanced Analytics
Amir holds a PhD in Computer Science from University of Toronto. He has published several research papers in areas of Speech (ISPACS’08) and Image Analysis (ICIP’08), Financial modeling and Communication Networks. He has several years of experience working in startups as well as mid to large size companies.  

Albert Hoang Duc, Senior Data Scientist, Group Advanced Analytics 

Albert holds a PhD in Machine Learning from University College London, UK. His work is focused on analyzing unstructured data such as text and images. Prior to Manulife, Albert has spent several years in academia, contributing to the fields of neuroscience and medical image computing.


Popular posts from this blog

Course enrollment for Spring 2018

Appointments for course enrollment began on Monday 26 March and open enrollment begins on Wednesday 28 March.

For students trying to add CS courses, we encourage you to review the course selection page.

In Computer Science,  we drop the enrolment caps by approximately 15% of the total enrolment number for the course to give advisors room to handle special cases. We will return the enrolment caps to their actual size in the second week of classes after we have had time to deal with the special cases. This will occur on Friday, May 4, 2018, (we don't know the precise time) and remaining space will be available on a first-come-first-served basis only if the section isn't already at its enrolment total. WHAT IS A SPECIAL CASE?
1. Students who selected courses but something went wrong because of: enrollment capacity in a course **a time conflict **an academic enrolment block was applied after course selectiondropping or failing a course after course selection** Please re…

CS/Data Science/Digital Hardware option transfers NOW OPEN

The CS Undergraduate Advising Office has opened applications for CS transfers for Fall 2017. The online application is available at will be open from Tuesday, December 5 until Sunday, December 31, 2017, at 11.59 p.m.

We're accepting applications for:

Transfer from Math to CS - at a minimum, must have taken CS 136 or be taking it in Fall 2017.Transfer from CS to BCS (Data Science) - must have taken STAT 231 or be taking it in Fall 2017.Transfer from CS to CS/Digital HardwareAdding a Joint CS to an out-of-faculty planTransfer from outside of Math to CS (pending approval from Math)Answers to common questions about the transfer process can be found in the CS FAQs (particularly #2 and #151).