Masooma Ali
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Masooma Ali Email & Phone Number

Senior Applied Research Scientist at Thomson Reuters
Location: Mississauga, Ontario, Canada 7 work roles 2 schools
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Role
Senior Applied Research Scientist
Location
Mississauga, Ontario, Canada
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Who is Masooma Ali? Overview

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Masooma Ali is listed as Senior Applied Research Scientist at Thomson Reuters, a with 47271 employees, based in Mississauga, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Masooma Ali.

Masooma Ali previously worked as Applied Research Scientist (NLP) at Thomson Reuters and Senior Data Scientist at Sesh. Masooma Ali holds Master Of Science - Ms, Astrophysics from The University Of Bonn.

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Thomson Reuters

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Profile bio

About Masooma Ali

I thrive on solving complex open-ended problems involving large amounts of data. Over the past 10 years my love for reformulating and solving challenging problems using statistical techniques, has led me to work in pulsar astronomy with messy real world data, and in classical and quantum gravity with pristine simulated data. Most recently it led to a natural segue into machine learning.With a strong understanding of machine learning and strong coding skills I can quickly iterate through the research-prototype-deploy cycle for building production quality ML models. In my current role at Sesh I have built and deployed models for tasks like audio sentiment recognition, speech recognition, speech intelligibility scoring, speaker identification, active speaker recognition, jargon detection and semantic similarity tasks.

Listed skills include Python, Matlab, Microsoft Office, Teaching, and 6 others.

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Thomson Reuters
Thomson Reuters
Senior Applied Research Scientist
toronto, ontario, canada
Website
Employees
47271
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7 roles

Masooma Ali work experience

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Senior Applied Research Scientist

Current

Toronto, Ontario, Canada

Mar 2024 - Present

Applied Research Scientist (Nlp)

Toronto, Ontario, Canada

Sep 2022 - Mar 2024

Senior Data Scientist

My role involves working with the product team to identify high ROI opportunities for using ML to drive business objectives and translating product ideas into solvable ML problems. I am responsible for the complete lifecycle of the ML model from the research phase all the way to the deployment and monitoring. Some projects I have worked on are - audio sentiment recognition- determining speech clarity and intelligibility (audio)- speaker recognition (audio)- multi-domain jargon identification (NLP)- semantic similarity tasks (NLP)- active speaker recognition in uploaded videos (audio + computer vision)- content recommendation based on user feedback (NLP)As part of the deployment process I have built several low latency services using AWS infrastructure. I have also built internal tools to surface model predictions for human testing and for monitoring model training metrics. When required I also support the engineering team by building user interfaces using React and Go for admin tasks which support customer interaction and engagement.

Jan 2021 - Nov 2022

Postdoctoral Researcher

Waterloo, Canada

- Developed a distributed algorithm for Monte Carlo integrations on largeSpinfoams i.e. large graphs with group theoretic information on the nodesand edges. This allowed us to analyze a model for matter in the Spinfoam approachto quantum gravity for the first time.- Adapted computational geometry algorithms and numerical techniques likeFinite Element Methods for computing physical quantities on fluctuating geometries.This also required developing theoretical tools to define suitableobservables to be computed with these algorithms.

Nov 2019 - Jun 2021

Doctoral Researcher

Fredericton, New Brunswick

Explored the use of a dust field to evade the problem of time in quantum gravity. Further developed this theoretical framework to apply Monte Carlo algorithms to compute interesting observables in cosmological models.

Sep 2014 - Aug 2019

Graduate Teaching Assistant

Taught and facilitated tutorial sessions in Introductory Calculus, Advanced Calculus and Differential Geometry for groups of 20-30 undergraduates. The sessions involved concept building and hands-on problem solving to allow students to build intuition for the subjects.

Sep 2014 - Dec 2017

Research Assistant

Max Planck Institute For Radioastronomy

Bonn, Germany

Worked with the Fundamental Physics in Radioastronomy group. Simulated propagation delays for Binary Pulsar and Pulsar-Black Hole systems and assessed which post-Newtonian effects would be detectable by the Square Kilometer Array.

Nov 2010 - Nov 2011
Team & coworkers

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2 education records

Masooma Ali education

FAQ

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What company does Masooma Ali work for?

Masooma Ali works for Thomson Reuters.

What is Masooma Ali's role at Thomson Reuters?

Masooma Ali is listed as Senior Applied Research Scientist at Thomson Reuters.

Where is Masooma Ali based?

Masooma Ali is based in Mississauga, Ontario, Canada while working with Thomson Reuters.

What companies has Masooma Ali worked for?

Masooma Ali has worked for Thomson Reuters, Sesh, Perimeter, University Of New Brunswick, and Max Planck Institute For Radioastronomy.

Who are Masooma Ali's colleagues at Thomson Reuters?

Masooma Ali's colleagues at Thomson Reuters include Gordon Aitchison, Omar Mahmood, Stanley Charles, Monique Nunes Da Fonseca, and Winnay Vuppula.

How can I contact Masooma Ali?

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What schools did Masooma Ali attend?

Masooma Ali holds Master Of Science - Ms, Astrophysics from The University Of Bonn.

What skills is Masooma Ali known for?

Masooma Ali is listed with skills including Python, Matlab, Microsoft Office, Teaching, Research, Microsoft Excel, Machine Learning, and C++.

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