Tips for presenting at a scientific conference

Introduction

I served as a judge for some of the student presentations at the 2016 Canadian Statistics Student Conference (CSSC).  The conference was both a learning opportunity and a networking opportunity for statistics students in Canada.  The presentations allowed the students to share their research and course projects with their peers, and it was a chance for them to get feedback about their work and learn new ideas from other students.

Unfortunately, I found most of the presentations to be very bad – not necessarily in terms of the content, but because of the delivery.  Although the students showed much earnestness and eagerness in sharing their work with others, most of them demonstrated poor competence in public speaking.

Public speaking is an important skill in knowledge-based industries, so these opportunities are valuable experiences for anybody to strengthen this skill.  You can only learn it by doing it many times, making mistakes, and learning from those mistakes.  Having delivered many presentations, learned from my share of mistakes, and received much praise for my seminars, I hope that the following tips will help anyone who presents at scientific conferences to improve their public-speaking skills.  In fact, most of these tips apply to public speaking in general.

I spoke at the 2016 Canadian Statistics Student Conference on career advice for students and new graduates in statistics.

Image courtesy of Peter Macdonald on Flickr.

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VanBUG Seminars by Artem Babaian and Ryan Morin @ BC Cancer Research Centre: Thursday, November 14, 2013.

I look forward to attending the Vancouver Bioinformatics Users Group’s next meeting tomorrow night!

The meeting will begin at 6:00 pm in the Gordon and Leslie Diamond Family Theatre in the BC Cancer Research Centre (675 West 10th Avenue in Vancouver).  As usual, students and new professionals in bioinformatics are encouraged to meet with the seminar speaker before the seminar to ask for advice about working and studying in bioinformatics.  This meeting will take place from 4:30 pm to 5:30 pm in either the Boardroom or Lunchroom on the ground floor of the BC Cancer Research Centre.

Visit the seminar page for more details.  If you will also attend tomorrow’s VanBUG event, please feel free to come and say “Hello!”.

 

Presentation Slides: Machine Learning, Predictive Modelling, and Pattern Recognition in Business Analytics

I recently delivered a presentation entitled “Using Advanced Predictive Modelling and Pattern Recognition in Business Analytics” at the Statistical Society of Canada’s (SSC’s) Southern Ontario Regional Association (SORA) Business Analytics Seminar Series.  In this presentation, I

– discussed how traditional statistical techniques often fail in analyzing large data sets

– defined and described machine learning, supervised learning, unsupervised learning, and the many classes of techniques within these fields, as well as common examples in business analytics to illustrate these concepts

– introduced partial least squares regression and bootstrap forest (or random forest) as two examples of supervised learning (0r predictive modelling) techniques that can effectively overcome the common failures of traditional statistical techniques and can be easily implemented in JMP

– illustrated how partial least squares regression and bootstrap forest were successfully used to solve some major problems for 2 different clients at Predictum, where I currently work as a statistician

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