About Monica Salib

Monica Salib, B.Eng.
Project Engineer
Monica holds a chemical engineering degree from McMaster University. She has been involved with client projects in rapid product development, troubleshooting analyses, in-house courses, and advanced modeling sessions. Monica has impressed clients with her attention to detail and ability to organize large datasets.

Applying Data Analytics to Speed Skating with Olympic Gold Medalist Olivier Jean

By |2020-12-15T10:45:07-05:00December 8th, 2020|Multivariate News|

Olivier Jean is a Canadian Olympic gold medalist with a long, successful career in both short-track and long-track speed skating.  After recently retiring from skating and subsequently completing a Master’s degree in Management Innovation & Entrepreneurship, he has now taken an interest in applying data analytics to speed-skating in order to assist coaches and athletes [...]

Healthcare Analytics: A Breast Cancer Application

By |2019-10-24T11:53:50-04:00September 18th, 2019|Multivariate News|

According to global statistics, breast cancer is one of the most common cancers among women. Despite awareness campaigns and high visibility, the number of women dying of metastatic breast cancer remains unchanged since 1970.1 What if advanced analytics and personalized treatment plans could help? This article details a multivariate analysis on a publicly available dataset [...]

Pharma’s Big Hurdle with Big Data

By |2019-10-24T11:54:32-04:00March 26th, 2019|Multivariate News|

The effective use of Big Data in manufacturing is an advancement consistent with the Industry 4.0 movement. Recently, the pharmaceutical industry has recognized the value collecting data; Big Data is capable of aiding both manufacturers and patients. As such, the industry has started aggressively investing in Big Data solutions. Astonishingly, pharmaceutical data is now doubling [...]

Plant-wide data audit – Get your plant ready for Industry 4.0!

By |2020-10-28T08:48:01-04:00August 22nd, 2018|Multivariate News|

With Industry 4.0 being the new manufacturing buzzword, companies are working hard to make their production facilities ready for the next industrial revolution. The core principle of Industry 4.0 is having a fully connected production plant that utilizes industrial data for process monitoring all along a manufacturing process. With countless proven examples of successful implementations, [...]

Multivariate Modeling and ExxonMobil’s Product Development

By |2019-10-24T11:55:32-04:00April 24th, 2018|Featured, Multivariate News|

Dr. David Fiscus, Staff Chemist for ExxonMobil Chemical Company provided a talk at the Polymer Technology Center (Texas A&M University) on April 25th, summarizing a recent project with ProSensus on applying multivariate modeling to EMMC's product development database. The complete abstract for David's talk "Developing Structure-Process-Property Relationships using Multivariate Analysis" and speaker bio can be [...]