Chandler Squires

Data Scientist

https://talent.gravityer.com/chandler-squires

Postdoc at CMU Machine Learning Department. Formerly PhD student at MIT. Causality, representation learning, drug discovery, and more.

United States

Key Strengths

Extensive personal project experience in Causal Inference and Causal Representation Learning, directly aligning with Data Scientist roles focused on advanced statistical modeling.
Proficiency in Python, R, and Jupyter Notebook, essential tools for data science.
Demonstrated ability to develop and contribute to open-source packages (e.g., 'causaldag').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily concentrated on academic/research-oriented causal inference, which indicates a strong passion for a specific domain within data science. While this depth is valuable, the lack of diversity in project types (e.g., business applications, large-scale data engineering, MLOps) might suggest a narrower scope of experience for broader data scientist roles. The absence of team projects or collaborative descriptions makes it difficult to assess cultural fit beyond technical alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

6.S091-causality-2024

January 8, 2024 – November 12, 2024

6.S091-causality-2024 — GitHub repository

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6.S091-causality

December 12, 2022 – February 7, 2023

6.S091-causality — GitHub repository

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linear-causal-disentanglement-via-interventions

November 29, 2022 – February 28, 2024

linear-causal-disentanglement-via-interventions — GitHub repository

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multi-domain-crl

October 24, 2022 – May 2, 2024

Code for the paper "Unpaired Multi-Domain Causal Representation Learning", published at NeurIPS 2023.

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causal-rep-learning-reading-group

November 19, 2021 – November 11, 2023

causal-rep-learning-reading-group — GitHub repository

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utigsp

February 14, 2020 – September 30, 2022

utigsp — GitHub repository

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dct-policy

January 13, 2020 – June 5, 2020

dct-policy — GitHub repository

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causaldag_examples

April 4, 2019 – December 13, 2022

Example usage of https://github.com/uhlerlab/causaldag

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causaldag

July 28, 2018 – April 12, 2023

Python package for the creation, manipulation, and learning of Causal DAGs

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dci

May 24, 2018 – December 21, 2018

Code and figures for the Differential Causal Inference (DCI) algorithm

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Key Strengths

Extensive personal project experience in Causal Inference and Causal Representation Learning, directly aligning with Data Scientist roles focused on advanced statistical modeling.
Proficiency in Python, R, and Jupyter Notebook, essential tools for data science.
Demonstrated ability to develop and contribute to open-source packages (e.g., 'causaldag').

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Chandler Squires

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit