プロフィール詳細

プロジェクトを作成

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Dr. Joseph C.に依頼

United States

Harvard Postdoc & PhD Psychologist | A/B Testing, Experimentation, User Behavior Analysis & Machine Learning Specialist

プロフィール概要

Harvard Postdoctoral Fellow and PhD Psychologist with 10+ years of expertise in experimental design, A/B testing, and advanced behavioral analytics. Specialized in translating rigorous academic research methodologies into actionable business insights for growth optimization. Research Expertise: • Designed and analyzed large-scale behavioral experiments using A/B testing frameworks across diverse user populations • Developed personalization algorithms using Bayesian mixture models to optimize user experiences based on individual behavioral patterns • Published research demonstrating scalable intervention strategies that "equalize" learning outcomes, with direct applications to conversion optimization Technical Skills: • Advanced statistical modeling in Python (pandas, scikit-learn, statsmodels) and R (tidyverse, brms, lme4) • Machine learning applications: Bayesian modeling, classification, regression, time-series analysis • Expert in A/B testing platforms, experimental design, and causal inference methodologies Business Applications: • 10+ years translating complex analytical insights into clear, goal-driven actions • Experience presenting findings to diverse stakeholders and mentoring dozens of team members with diverse backgrounds and skillsets • Proven track record designing experiments that identify scalable interventions and drive measurable improvements in user outcomes Available for: Statistical consulting, A/B testing design and analysis, behavioral data analysis, machine learning model development, research methodology consulting, and experimental design for business optimization.

専門分野

• ★ Data Analysis
• ★ Python
• ★ Survey Design & Methodology
• ☆ Machine Learning
• ☆ Statistics
• ☆ Cognitive Science
• ☆ Child & Adolescent Psychology
• ☆ Developmental Psychology
• ☆ Applied Psychology
• ☆ Learning & Memory
• ☆ Human-Computer Interactions (HCI)
• ☆ Child Development
• ☆ Science Outreach
• ☆ Educational Innovation
• ☆ Science Education
• ☆ R
• ☆ Scikit-learn
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ User Research
• ☆ Quantitative User Research
• ☆ Qualitative User Research
• ☆ Literature Search
• ☆ Skills Training
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Instructional Materials
• ☆ Experimental Protocols
• ☆ SOP & Protocol Writing
• ☆ Science Communication

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing General Proofreading & Editing

Research Market Research, User Research, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Business Strategy Consulting, Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Mining, Data Processing, Data Insights

Product Development Product Validation, Concept Development

職務経験

Postdoctoral Research Fellow

Harvard University

- 現在

学歴

Ph.D., Experimental Psychology

Rutgers University

9月 2018 - 8月 2023

Bachelors, Applied Mathematics

Rutgers University

9月 2012 - 5月 2016

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Joseph Colantonio, Ilona Bass, Yee Lee Shing, Sobanawartiny Wijeakumar, Courtney McKay, Eva Rafetseder, Allyson P. Mackey, Elizabeth Bonawitz (2025). Computational Approaches Reveal Developmental Shifts in Exploratory Play . Developmental Science.

Garvin Brod, Elfriede Holstein, Leonie Weindorf, Joseph Colantonio, Elizabeth Bonawitz, Maria Theobald (2025). Do it yourself: discerning the effects of self-directed activity on conceptual learning . npj Science of Learning.

Ilona Bass, Joseph Colantonio, Rosie Aboody, Michelle Wong, Tomer Ullman, Elizabeth Bonawitz (2025). Children's sensitivity to automatic behavior relates to pedagogical reasoning and Theory of Mind . Frontiers in Developmental Psychology.

Joseph A. Colantonio, Igor Bascandziev, Maria Theobald, Garvin Brod, Elizabeth Bonawitz (2024). Predicting Learning: Understanding the Role of Executive Functions in Children's Belief Revision Using Bayesian Models . Topics in Cognitive Science.

Maria Theobald, Joseph Colantonio, Igor Bascandziev, Elizabeth Bonawitz, Garvin Brod (2024). Do reflection prompts promote children's conflict monitoring and revision of misconceptions? . Child Development.

Joseph A. Colantonio, Igor Bascandziev, Maria Theobald, Garvin Brod, Elizabeth Bonawitz (2023). Priors, Progressions, and Predictions in Science Learning: Theory-Based Bayesian Models of Children’s Revising Beliefs of Water Displacement . IEEE Transactions on Cognitive and Developmental Systems.

Joseph Colantonio, Igor Bascandziev, Maria Theobald, Garvin Brod, Elizabeth Bonawitz (2023). Seeing the Error in My “Bayes”: A Quantified Degree of Belief Change Correlates with Children’s Pupillary Surprise Responses Following Explicit Predictions . Entropy.

Joseph Colantonio, Igor Bascandziev, Maria Theobald, Garvin Brod, Elizabeth Bonawitz (2023). Seeing the Error in My “<i>Bayes</i>”: A Quantified Degree of Belief Change Correlates with Children’s Pupillary Surprise Responses Following Explicit Predictions . Entropy.

Joseph Colantonio, Kelley Durkin, Leyla Roksan Caglar, Patrick Shafto, Elizabeth Bonawitz (2021). The Intentional Selection Assumption . Frontiers in Psychology.

Jonathan F. Kominsky, Katarina Begus, Ilona Bass, Joseph Colantonio, Julia A. Leonard, Allyson P. Mackey, Elizabeth Bonawitz (2021). Organizing the Methodological Toolbox: Lessons Learned From Implementing Developmental Methods Online . Frontiers in Psychology.

Kimele Persaud, Ilona Bass, Joseph Colantonio, Carla Macias, Elizabeth Bonawitz (2020). Opportunities and challenges integrating resource-rational analysis with developmental perspectives . Behavioral and Brain Sciences.

DISSERTATION THESIS

Bayesian models of children’s belief revision, pupillary-surprise response, and executive function when generating predictions in science learning @article{https://doi.org/10.7282/t3-ggmj-j222, doi = {10.7282/T3-GGMJ-J222}, url = {https://rucore.libraries.rutgers.edu/rutgers-lib/72653}, author = {Colantonio, Joseph Anthony}, title = {Bayesian models of children’s belief revision, pupillary-surprise response, and executive function when generating predictions in science learning}, publisher = {No Publisher Supplied}, year = {2023}} . No Publisher Supplied.

CONFERENCE PAPER

Joseph Colantonio, Elizabeth Bonawitz (2018). Awesome play: Awe increases preschooler’s exploration and discovery .