Martin Laprise
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Martin Laprise Email & Phone Number

Founder and Chief Scientist at Hectiq.AI
Location: Capitale-Nationale, Quebec, Canada 9 work roles 3 schools
1 work email found @hectiq.ai 4 phones found area 581 and 212 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email m****@hectiq.ai
Direct phone (581) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Founder and Chief Scientist
Location
Capitale-Nationale, Quebec, Canada
Company size

Who is Martin Laprise? Overview

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Quick answer

Martin Laprise is listed as Founder and Chief Scientist at Hectiq.AI, a with 8 employees, based in Capitale-Nationale, Quebec, Canada. AeroLeads shows a work email signal at hectiq.ai, phone signal with area code 581, 212, and a matched LinkedIn profile for Martin Laprise.

Martin Laprise previously worked as Founder & Chief Scientist at Hectiq.Ai and Head of Data Science at Twenty3. Martin Laprise holds Phd (Candidate), Physics from Université Laval.

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Email format at Hectiq.AI

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{first_initial}{last}@hectiq.ai
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Profile bio

About Martin Laprise

Martin Laprise is a Founder and Chief Scientist at Hectiq.AI. He possess expertise in python, natural language processing, physics, data mining, machine learning and 28 more skills. He is proficient in English. Colleagues describe him as "I was fortunate to hire Martin twice - at both Klood and Twenty3. When searching for Klood's first data scientist, it became clear that there are many "theoretical" data scientists out there. Martin stood out from them all because he possessed valuable engineering skills that meant he could take an idea and deliver it all the way from theory through to servers running in AWS. So much data science gets stuck in Jupyter Notebooks or R... with Martin you avoid this and bring data science all the way to production. 10/10 would hire again!" and "Martin is awesome: passionate about data, motivated by challenges, and lots of deep knowledge in important tools in the PyData and Hadoop/Spark ecosystems. Martin was one of my earliest hires for Parse.ly's backend/data team, and kept up with the ecosystem as it evolved quickly alongside our company. He self-instructed in technologies like Pig, Pandas, pyspark, and other tools, and regularly wrote data analyses that became part of our public research or customer-facing products. He also mastered all the various data stores we used, such as MongoDB, Elasticsearch, and Amazon Redshift, so that he could write scripts to pull data for our marketing and product teams, or investigate data discrepancies. He has a boundless curiosity, a strong work ethic, and is not afraid to roll up his sleeves to hack on projects. I highly recommend him."

Listed skills include Python, Natural Language Processing, Physics, Data Mining, and 29 others.

Current workplace

Martin Laprise's current company

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Hectiq.AI
Hectiq.Ai
Founder and Chief Scientist
Québec, QC, CA
Website
Employees
8
AeroLeads page
9 roles · 26 years

Martin Laprise work experience

A career timeline built from the work history available for this profile.

Founder And Chief Scientist

Québec, Qc, Ca

Founder & Chief Scientist

Current

Quebec, Canada

Hectiq AI is an artificial intelligence solutions provider. We research, design & build AI technologies to help our clients solve real-world problems using data.

Jan 2018 - Present

Head Of Data Science

London, United Kingdom

Twenty3 is a sports analytics company providing analytics and predictive models to fans, media outlets and professional clubs. As the Head of Data Science, I built the Data Science Team, put the DS process in place and architect the DS backend to productize the models and analysis produced by the team. We produced a number of interesting tools and models:• Players Transfer monitoring on social media & in the news using various machine learning models and NLP methods for entity extraction, news classifications, etc..• Player Transfer predictive model based on Survival & Bayesian Analysis• Player Performance using regularized linear model• Match Lineup prediction using a Bayesian model based on a Dirichlet process • Players & Teams personas based on Latent Dirichlet Allocation• Match projections model using a Bayesian approach• Match predictive model using the on-the-ball events data modelled as a Markov process & LSTM deep neural networks as a well as a new approach using a reinforcement learning approach (Deep Q-Learning)

Apr 2017 - Apr 2018

Data Scientist

• Build and deployed custom machine learning models in the app using tools like Scikit-Learn, TensorFlow, Keras, Statsmodels, etc.• Designed and implemented the Klood Graph Engine, a graph exploration tool based on Topological Data Analysis methods.• Performed custom in-depth statistical analysis for our clients.• Designed and implemented various NLP systems: - Klood Entities Graph, an entities extraction and exploration tool working at scale - Search query creation assistant based on word embedding methods and discriminative models.

Apr 2016 - Apr 2017

Data Scientist / Algorithm Lead

Greater New York City Area

Parse.ly is a technology company that provides web analytics and content optimization software for online publishers.As the first Data Scientist in the company:• Performed custom in-depth statistical analysis and predictive models for our clients, the marketing and the product team.•• Implemented ETL data pipelining and warehousing using Hadoop tools like Apache Spark and Apache Pig.•• Architected and implemented our first Yarn Cluster.•• Helped developing algorithms for analysis and storage of high volume streaming data using Apache Storm and probabilistic data structures.•• Designed and implemented NLP algorithms for our product.

Jan 2013 - Apr 2016

Cto

Crowdbase

• Validate the technology used in the product and perform the internal due diligence for the seed funding ($ 650k).• Manages development and technical architecture of Crowdbase.• Research and Development of the natural language processing components of Crowdbase.• Designed and developed the recommendation engine algorithms.

Feb 2012 - Jan 2013

Data Scientist

Crowdbase

Quebec, Canada

• Research and Development of the natural language processing components of Crowdbase.• Designed and developed the recommendation engine algorithms.

Jun 2011 - Feb 2012

Data Scientist & Software Engineer

• Development of financial analytics softwares.• Coding of the Monte Carlo simulations.• Development of a GPU accelerated version of the stochastic simulations.

Dec 2010 - Jun 2011

Teaching Assistant - Physics Department

Design of the experiments about the erbium fiber laser and the erbium amplifier.Assisted students in all aspects of the experimental process including: theory, data acquisition, data analysis, report writing.Correction of the theorical assignments.• Physics of Lasers graduate course• Optics-Photonics II• Optics-Photonics I• Optical Fiber undergraduate course

2001 - 2006 ~5 yrs
3 education records

Martin Laprise education

Phd (Candidate), Physics

Thesis Topic: Generation of high energy ultrashort laser pulse in ytterbium-doped fiber laser. Thesis redaction not completed ... yet. :-(

Master, Physics

Thesis Topic: Design and characterization of a ytterbium-doped double clad fiber laser.

FAQ

Frequently asked questions about Martin Laprise

Quick answers generated from the profile data available on this page.

What company does Martin Laprise work for?

Martin Laprise works for Hectiq.AI.

What is Martin Laprise's role at Hectiq.AI?

Martin Laprise is listed as Founder and Chief Scientist at Hectiq.AI.

What is Martin Laprise's email address?

AeroLeads has found 1 work email signal at @hectiq.ai for Martin Laprise at Hectiq.AI.

What is Martin Laprise's phone number?

AeroLeads has found 4 phone signal(s) with area code 581, 212 for Martin Laprise at Hectiq.AI.

Where is Martin Laprise based?

Martin Laprise is based in Capitale-Nationale, Quebec, Canada while working with Hectiq.AI.

What companies has Martin Laprise worked for?

Martin Laprise has worked for Hectiq.Ai, Twenty3, Klood Ltd, Parsely, Inc., and Crowdbase.

Who are Martin Laprise's colleagues at Hectiq.AI?

Martin Laprise's colleagues at Hectiq.AI include Charles Murphy and Edward Laurence.

How can I contact Martin Laprise?

You can use AeroLeads to view verified contact signals for Martin Laprise at Hectiq.AI, including work email, phone, and LinkedIn data when available.

What schools did Martin Laprise attend?

Martin Laprise holds Phd (Candidate), Physics from Université Laval.

What skills is Martin Laprise known for?

Martin Laprise is listed with skills including Python, Natural Language Processing, Physics, Data Mining, Machine Learning, Monte Carlo Simulation, Matlab, and Linux.

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