Testimonials

“Before working with Dr. Di Battista, our team faced significant challenges in making sense of our complex data sets. We needed a robust statistical approach to accurately interpret our data and answer the specific questions we had about our problem set. Dr. Di Battista brought a deep understanding of Bayesian statistics to the table, which revolutionized how we approached data analysis. In particular, his expertise in performing Bayesian latent class analysis using STAN was instrumental in uncovering the underlying structure in our DMT questionnaire data. This approach not only clarified our results but also provided novel insights that we hadn't anticipated. Working with Dr. Di Battista was both enlightening and seamless. His ability to break down intricate Bayesian models and tailor them to our specific research needs was truly impressive. I highly recommend his services to anyone looking to elevate their data analysis capabilities.”

David Lawrence, MD, MPH, CCFP(SEM), Dip Sport Med
Assistant Professor: Faculty of Medicine, University of Toronto
Lead Team Physician: Toronto Blue Jays
Medical Director: David L. MacIntosh Sport Medicine Clinic, University of Toronto
Assistant Medical Director: Dovigi Orthopedic Sports Medicine Clinic, Mount Sinai Hospital

“Deciding on the right approach is the first and crucial step for any data analysis project. Alex’s deep and wide knowledge is particularly useful to help you understand how to tackle a given problem. Not only did he help me get on the right track more than once, he always proposed a complementary approach for sensitivity analysis and simulated everything before even getting to the data. The rest of the process is as meticulous and professional. Alex’s integrity always gives me a sense of security that I have found the right steward for my precious data. If you want “results”, there are many people to choose from; if you want a process that provides the closest approximation to the state of nature that produced your data – there are few people like Alex.”

 Dr. Uriel Trahtemberg MD, PhD
Chief, Department of Critical Care, Galilee Medical Center, Nahariya, Israel
Senior Lecturer (physician scientist), Medicine Faculty, Bar Ilan University, Israel
Affiliate Scientist, Keenan Research Centre of Biomedical Science; St. Michael’s Hospital, Toronto, Canada

“Dr. Alex Di Battista is an extraordinary scientist and statistician with unparalleled expertise in advanced data analytics, modeling, and statistical analyses for biomolecular and biomedical datasets. Over the past 20 years, I’ve had the privilege of collaborating with him on numerous large-scale clinical and translational research projects, where his mastery of both conventional and cutting-edge empirical techniques has been invaluable. His skillset extends from univariate and multivariate analyses to sophisticated methodologies like heuristic scientific modeling using Directed Acyclic Graphs (DAGs), Bayesian multilevel modeling, latent variable creation, and causal inference. Dr. Di Battista excels at generating his own code, and his work is powered by advanced analytical platforms, including the Hamiltonian Monte Carlo engine Stan, ensuring results that are robust, reproducible, and insightful. Alex is exceptionally responsive to project deadlines – his patient, client-centered, and efficient approach can save you weeks of additional work. For state-of-the-art statistical analyses and expert interpretation, I highly recommend Dr. Di Battista to anyone in need of a top-tier statistical consultant or data analyst.”

 Dr. S.G Rhind, PhD
Senior Research Scientist, University of Toronto & DRDC Toronto

“I’ve had the honour of collaborating with Alex for over a decade on diverse projects related to casualty care, mental health, and brain health research at Defence Research & Development Canada. Alex’s expertise as a statistician runs deep, but it’s his unwavering curiosity and innovative mindset that truly distinguish him. He fearlessly tackles challenges, consistently achieving our shared goals. Internally and externally, Alex’s work shines not only for its scientific rigor but also for his ability to collaborate seamlessly with external experts. His talent lies in translating complex clinical and multi-omics data into accessible insights, showcasing their inherent value. Working alongside Alex has been both rewarding and enjoyable. I wholeheartedly wish him continued success on his remarkable journey.” 

Maria Shiu, M.Sc
Senior Research Technologist, DRDC Toronto

“I have been extremely fortunate to work with Dr. Di Battista on a number of research projects over several years during my time at the University of Toronto, including my master’s thesis in the field of sports-related concussion. Alex has a profound wealth of knowledge in Bayesian statistics and is motivated to contribute to the changing landscape of statistical analysis. His mentorship throughout my master’s degree contributed to fundamental changes in my thesis methodology and overall understanding of statistical analysis. Beyond this, Alex is by far the most effective statistics and research methods teacher I have encountered. His patience with learners and ability to explain complex concepts within Bayesian statistics into simple and tangible terms was instrumental to my development as a researcher. From introductory statistics teaching to consultation in model development, I cannot recommend Alex highly enough.” 

Stefan Bianchi, B.Kin, M.Sc
MD Candidate, Class of 2025, McMaster University, Canada

“I have had the pleasure of working with Dr. Alex Di Battista during my master’s thesis at the University of Toronto. He is an exceptional mentor who takes the time to explain concepts thoroughly and ensures that I fully understand each topic before moving forward. His ability to break down complex material into easily comprehensible terms and explain the purpose behind each step is truly remarkable. For example, he has taken the time to explain how to use Direct Acyclic Graphs (DAGs) for causal models, best coding practices, and how to model specific types of data. Through his help, I have enhanced my understanding of how to write proper code and use/interpret Bayesian statistics. I am incredibly grateful for his support and would highly recommend Dr. Di Battista to anyone seeking a knowledgeable and patient mentor.”

Genevieve Ammendolia Tome, B.Kin, M.Sc
MD Candidate, Class of 2027, McMaster University, Canada

“I have been very fortunate to continuously learn from and be mentored by Dr. Alex Di Battista over the last 9 years and throughout all three of my university degrees. Early on in my academic studies, Dr. Di Battista encouraged me to begin learning the R programming language to conduct data cleaning/organization and statistical analyses. With Dr. Di Battista’s ongoing guidance, I developed a coding skill set and thus, have become quite proficient in using R along with other programming languages. Additionally, I have learnt various advanced statistical analyses from Dr. Di Battista with the most recent being Bayesian modelling through STAN. Dr. Di Battista’s patience with consistently answering questions and carefully explaining all concepts has played a vital role in my overall understanding of causal inference and Bayesian statistical modelling. Dr. Di Battista adapts his teaching to the learning styles of those he is mentoring/teaching and ensures that there is a deep understanding before moving forward to more advanced concepts. I am very grateful for Dr. Di Battista’s ongoing guidance and would highly recommend Dr. Di Battista for anyone looking for a teacher/mentor, data analyst, or statistician.”

Kyla Pyndiura, B.Kin, M.Sc, PhD (candidate)
University of Toronto, Toronto, ON, Canada