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Emma Thomas, Phd Email & Phone Number

Data Scientist at Atlassian
Location: Los Angeles Metropolitan Area, United States 8 work roles 3 schools
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Current company
Role
Data Scientist
Location
Los Angeles Metropolitan Area, United States
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Who is Emma Thomas, Phd? Overview

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Emma Thomas, Phd is listed as Data Scientist at Atlassian, a with 17621 employees, based in Los Angeles Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Emma Thomas, Phd.

Emma Thomas, Phd previously worked as Data Scientist at Google and Associate Statistician | Policy Researcher | Data Scientist at Rand Corporation. Emma Thomas, Phd holds Doctor Of Philosophy (Phd), Biostatistics from Harvard University.

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Email format at Atlassian

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Atlassian

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Profile bio

About Emma Thomas, Phd

I am an experienced data scientist/statistician with a PhD in Biostatistics from Harvard University. In April 2022, I began a Data Scientist position at Google.Through my prior experience in the non-profit sector and academic research, I have a track record of developing innovative quantitative approaches to answer complex questions using diverse datasets and communicating those results to stakeholders. My skills include:Statisical programming: R, stan, Shiny, Stata, Python (intermediate)Statistics & Machine Learning: Bayesian analysis, regression modeling, probability theory, experimental design (A/B testing), longitudinal analysis, time series, causal inferenceCommunication: First author of 3 statistical methodology papers and 6 applied statistics papers; co-authored 3 applied statistics papers; 11 conference presentations, invited panelist/moderator at 2

Current workplace

Emma Thomas, Phd's current company

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Atlassian
Atlassian
Data Scientist
Los Angeles, CA, US
Website
Employees
17621
AeroLeads page
8 roles

Emma Thomas, Phd work experience

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Data Scientist

Los Angeles, Ca, Us

Data Scientist

Mountain View, Ca, Us

Associate Statistician | Policy Researcher | Data Scientist

Santa Monica, Ca, Us

• Plan and execute quantitative analyses on 6 projects to answer impactful policy questions• Program modern statistical and machine learning methods in R and Stata to fit datasets with millions of records, including social media data and data from a language learning app• Lead study design and statistical analysis plans for 8 research proposals, including design of a randomized experiment• Execute complex Bayesian analyses using Markov Chain Monte Carlo via Stan and create interactive visualizations to communicate results to collaborators using RShiny• Co-author 2 reports and 5 journal manuscripts under preparation (2 submitted) to communicate results of quantitative analyses to key stakeholders• Successfully navigate internal labor market to establish collaborations and engage in research opportunities as part of first cohort to enter organization in a fully-remote environment

Aug 2020 - Apr 2022

Statistics Research Assistant And Graduate Student

Boston, Massachusetts, Us

• Created innovative Bayesian statistical methodology to analyze the impact of air pollution on millions of hospitalizations for hundreds of distinct diseases• Built a publicly-available R package implementing a bespoke Bayesian algorithm to allow users to fit the above model to new datasets• Designed and executed an analysis of ~70,000 authors of medical publications in more than 2000 journals to assess gender disparities in authorship• Led graduate-level classes on topics including statistical inference, network analysis in Python, and applied regression in R and Stata

Sep 2017 - May 2020

Biostatistics Research Assistant

Melbourne, Victoria, Au

• Analyzed biomedical datasets using statistical methods including random forests and logistic regression in collaboration with medical researchers as part of a biostatistical consultancy unit

Jul 2014 - Jun 2015

Applied Statistics Research Assistant

Melbourne, Victoria, Au

• Led 4 research projects resulting in first authorship of 4 peer-reviewed publications• Developed predictive models of criminal recidivism; analyzed patterns of health outcomes among ex-prisoners; designed and implemented 2 stochastic models of influenza spread• Synthesized 7 databases of electronic health and criminal records linked to extensive survey data; jointly interrogated 3 influenza surveillance databases using bespoke regression methods

Jun 2012 - Jun 2015
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Colleagues at Atlassian

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3 education records

Emma Thomas, Phd education

Doctor Of Philosophy (Phd), Biostatistics

Harvard University

Master Of Science (Mathematics & Statistics), Statistics & Stochastic Processes

University Of Melbourne

Bachelor Of Science (B.S.), Mathematics

The Australian National University
FAQ

Frequently asked questions about Emma Thomas, Phd

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

What company does Emma Thomas, Phd work for?

Emma Thomas, Phd works for Atlassian.

What is Emma Thomas, Phd's role at Atlassian?

Emma Thomas, Phd is listed as Data Scientist at Atlassian.

Where is Emma Thomas, Phd based?

Emma Thomas, Phd is based in Los Angeles Metropolitan Area, United States while working with Atlassian.

What companies has Emma Thomas, Phd worked for?

Emma Thomas, Phd has worked for Atlassian, Google, Rand Corporation, Harvard T.H. Chan School Of Public Health, and Murdoch Childrens Research Institute.

Who are Emma Thomas, Phd's colleagues at Atlassian?

Emma Thomas, Phd's colleagues at Atlassian include Jiale Sun, Blake Fetherstonhaugh, Jha Mohan Tripura, Yiheng Chen, and Farhan Br.

How can I contact Emma Thomas, Phd?

You can use AeroLeads to view verified contact signals for Emma Thomas, Phd at Atlassian, including work email, phone, and LinkedIn data when available.

What schools did Emma Thomas, Phd attend?

Emma Thomas, Phd holds Doctor Of Philosophy (Phd), Biostatistics from Harvard University.

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