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Dan Simpson Email & Phone Number
Staff Machine Learning Engineer
at
.txt
1 work email found
@dottxt.co
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 86%
Current company
Role
Staff Machine Learning Engineer
Location
New York, New York, United States
Company size
Who is Dan Simpson? Overview
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Quick answer
Dan Simpson is listed as Staff Machine Learning Engineer at .txt, a company with 25 employees, based in New York, New York, United States. AeroLeads shows a work email signal at dottxt.co and a matched LinkedIn profile for Dan Simpson.
Dan Simpson previously worked as Machine Learning Engineer at .Txt and Machine Learning Lead at Normal Computing. Dan Simpson holds Doctor Of Philosophy - Phd, Numerical Analysis And Statistics from Qut (Queensland University Of Technology).
Company email context
Email format at .txt
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{first}@dottxt.co
89% confidence
AeroLeads found 1 current-domain work email signal for Dan Simpson. Compare company email patterns before reaching out.
Profile bio
About Dan Simpson
I was a ML lead at Normal Computing, where we make reliable, auditable, and accurate models. In the past I have been a Professor at Monash University (Australia) and a Canadian Research Chair and Associate Professor (tenured) in the Department of Statistical Sciences at the University of Toronto.I have 15 years post-PhD experience in building cutting edge methods, algorithms, and workflows across a variety of areas. Recently I have focussed on using SOTA language models to build reliable decision making platforms that reason with uncertainty. Previously my work focussed on Bayesian and Computational Statistics and Machine Learning.
Current workplace
Dan Simpson's current company
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.Txt
12 roles · 8 years
Dan Simpson work experience
A career timeline built from the work history available for this profile.
Oct 2024 - Present
Machine Learning Lead
I am a Staff Research Engineer and head of the ML team at Normal Computing.My tasks include:- Working with the executive team to shape the machine learning direction of the company- Working with the business development team to scope cross-functional POCs and longer-term partnerships with external stakeholders (including Fortune 100 companies)- Building.
Apr 2023 - May 2024
Director Of Analytics Engagement And Professor Of Statistics
I worked in the Department of Econometrics and Business Statistics in the Faculty of Business at Monash university. One of my major jobs is running an internship program that places 30-40 of our Masters of Business Analytics students.Service:- Developing faculty-level guidelines for promotion (and associated minimum standards) around academic impact.
May 2021 - Jul 2022
Associate Professor (With Tenure)
Canadian Research Chair in Bayesian Spatial Modelling (2018-2022)Associate Chair (Research) 2019-2020Assistant Professor (2017-July 2020)Responsibilities included:Research:- Developed novel statistical tools, methods, theory, and software that were published in top statistics and machine learning journals and conferences- Supervised PhD studentsTeaching.
Jul 2017 - Apr 2021
Board Member
Stan Governing Board
I was one of the founding members of the governance board for the open source software project Stan, which is a popular probabilistic programming language for Bayesian inference. I was also a member of Stan's NUMFocus leadership body from 2017 until it was joined to the newly-created board in 2018.
2018 - 2019
~1 yr
Reader
Reader is a very British rank and is roughly equivalent to Associate Professor in Australia (and other 4 level systems) and is closer to Full Professor in the North American system.I worked in the Department of Mathematical Sciences. I was a Lecturer (Assistant Professor in North America) until May 2016, after which I was promoted to Reader. As well as.
Aug 2015 - Jun 2017
Crism Research Fellow
Research Fellow in the Department of Statistical Sciences
Oct 2014 - Jul 2015
Research Scientist
I was a researcher in computational and spatial statistics in the Department of Mathematical Sciences
Aug 2012 - Sep 2014
Postdoctoral Researcher
I used statistical models to look at spatial aspects of species distribution maps in the Department of Biological and Environmental Sciences.
Jan 2012 - Jul 2012
Postdoctoral Research Fellow
I was a postdoctoral fellow focussing on spatial and computational statistics in the Department of Mathematical Sciences
Jan 2010 - Dec 2011
Postdoctoral Research Fellow
I researched computational methods for solving non-local measure-valued partial differential equations that arise when studying size structured populations in ecology.
Jan 2009 - Dec 2009
1 education record
Dan Simpson education
FAQ
Frequently asked questions about Dan Simpson
Quick answers generated from the profile data available on this page.
What company does Dan Simpson work for?
Dan Simpson works for .txt.
What is Dan Simpson's role at .txt?
Dan Simpson is listed as Staff Machine Learning Engineer at .txt.
What is Dan Simpson's email address?
AeroLeads has found 1 work email signal at @dottxt.co for Dan Simpson at .txt.
Where is Dan Simpson based?
Dan Simpson is based in New York, New York, United States while working with .txt.
What companies has Dan Simpson worked for?
Dan Simpson has worked for .Txt, Normal Computing, Monash University, University Of Toronto Department Of Statistical Sciences, and Stan Governing Board.
How can I contact Dan Simpson?
You can use AeroLeads to view verified contact signals for Dan Simpson at .txt, including work email, phone, and LinkedIn data when available.
What schools did Dan Simpson attend?
Dan Simpson holds Doctor Of Philosophy - Phd, Numerical Analysis And Statistics from Qut (Queensland University Of Technology).
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