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Advanced Causal Inference Solutions

Understanding true cause-and-effect relationships is crucial in both research and business applications.

As a specialized causal inference consultant, I help you navigate the complexities of causal analysis, from study design to implementation. Whether you’re a researcher seeking to publish groundbreaking findings or a business looking to make data-driven decisions, my expertise ensures your causal conclusions are robust and reliable.

The Causal Inference Process

My statistical consulting process is designed for ease and clarity

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Transform your research questions into robust causal studies that stand up to scrutiny.

Design randomized controlled trials, A/B tests, and quasi-experimental studies
Identify appropriate causal identification strategies
Develop sampling frameworks that minimize selection bias
Plan measurement approaches that capture key confounders
Conduct power analyses specific to causal inference methods
Create pre-analysis plans that align with publication requirements

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Transform your research questions into robust causal studies that stand up to scrutiny.

Design randomized controlled trials, A/B tests, and quasi-experimental studies
Identify appropriate causal identification strategies
Develop sampling frameworks that minimize selection bias
Plan measurement approaches that capture key confounders
Conduct power analyses specific to causal inference methods
Create pre-analysis plans that align with publication requirements

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Transform your research questions into robust causal studies that stand up to scrutiny.

Design randomized controlled trials, A/B tests, and quasi-experimental studies
Identify appropriate causal identification strategies
Develop sampling frameworks that minimize selection bias
Plan measurement approaches that capture key confounders
Conduct power analyses specific to causal inference methods
Create pre-analysis plans that align with publication requirements

Icon Box

Transform your research questions into robust causal studies that stand up to scrutiny.

Design randomized controlled trials, A/B tests, and quasi-experimental studies
Identify appropriate causal identification strategies
Develop sampling frameworks that minimize selection bias
Plan measurement approaches that capture key confounders
Conduct power analyses specific to causal inference methods
Create pre-analysis plans that align with publication requirements

Icon Box

Transform your research questions into robust causal studies that stand up to scrutiny.

Design randomized controlled trials, A/B tests, and quasi-experimental studies
Identify appropriate causal identification strategies
Develop sampling frameworks that minimize selection bias
Plan measurement approaches that capture key confounders
Conduct power analyses specific to causal inference methods
Create pre-analysis plans that align with publication requirements

Icon Box

Transform your research questions into robust causal studies that stand up to scrutiny.

Design randomized controlled trials, A/B tests, and quasi-experimental studies
Identify appropriate causal identification strategies
Develop sampling frameworks that minimize selection bias
Plan measurement approaches that capture key confounders
Conduct power analyses specific to causal inference methods
Create pre-analysis plans that align with publication requirements

Why Work With Me For Your Causal Inference Needs?

Working with a expert benefits you in many ways

The Causal Inference Process

My statistical consulting process is designed for ease and clarity

For urgent questions, my on-demand consultation service offers quick, cost-saving solutions.

Causal Inference Case Studies

I worked on large medical datasets to answer causal questions related to epidemiological determinants of disease through complex exposures. Challenges included selection bias, confounding, and missing data. I successfully developed a strategy that gave researchers confidence in their results.

I’ve worked with R&D scientists who were simultaneously running multiple experiments to answer important questions about their cutting-edge products that would have a direct impact on various stakeholders. My role was to help in designing and analyzing the experiments, balancing the conceptual purity of the Design of Experiments theory (DoE) with pragmatic concerns relating to costs and timeline. Most of this work is sealed behind a Non-Disclosure Agreement (NDA) which prevents me from elaborating more.

Don’t Just Take My Word For It…

The positive experiences of my happy collaborators showcased through their glowing testimonials, serve as powerful proof of trustworthiness and the impact of the results I deliver. These testimonials offer real-life examples of how I’ve helped research projects succeed. Here are some of their thoughts:

 5/5

"He has a deep understanding of statistics, yet is able to skillfully explain complex concepts to people with little-to-no background in statistics both in French and English."

Elsa Brunet-Ratnasginham

Post-doc, UCSF

 5/5

"I had never before worked with a biostatistician who speaks the same language as me! [...] Personally, our collaboration has allowed me to reconcile with statistics."

Manon Nayrac

Post-doc, CRCHUM

 5/5

"I highly recommend Justin and his team for your data processing needs in order to have a more robust statistical model than the tests we are accustomed to conducting as biologists!"

Gérémy Sannier

Ph.D candidate, CRCHUM

 5/5

"Thanks to him, statistics appeared to me as solutions rather than obstacles."

Mathieu Dubé

Research Associate, CRCHUM

My Statistics and Causal Inference Expertise

As a university-level statistics lecturer with a substantial LinkedIn following, scientists from all over the world come to me for my unique combination of academic excellence and practical experience in statistics and causal inference.

I’ve applied causal inference methods in varied settings in both academia and industry: in biomedical sciences such as nephrology, immunology, neuroscience, virology, occupational therapy, epidemiology, dermatology, psychiatry, and oncology; in natural sciences such as agronomy, ecology, and zoology; and social sciences such as communication, and psychology. The list keeps on growing!

I am currently writing an advanced textbook that I hope will give a young generation of academic and industry researches the tools needed to grapple with the complexities of causal inference, and maybe even develop a passion for the subject!

Need help with causal inference? From research guidance to complex hands-on causal analyses, I offer expertise and collaboration. Together, we can maximize the success of your initiatives and projects.

Causal Inference Tools and Technologies

Using top-of-the-line statistical software like R and Python, along with cutting-edge data visualization, I make sure your data speaks volumes.

I can leverage my deep understanding of computer programming to robustly integrate complex data processing operations into sophisticated statistical modeling and data analytics pipelines, including but not limited to machine learning and causal AI methods.

I’ve also used most of the available statistics software in the past: SAS, SPSS, Stata, Minitab, GraphPad Prism, SPlus, and more.

Client Industries Served

My statistical consulting expertise extends beyond specific industries, serving clients in fields ranging from R&D in biotechnology and pharmaceuticals to researchers and Principal Investigators (PI) in academia.