Konstantina Sokratous

About Me

Doctoral candidate in the Behavioral and Cognitive Neuroscience area at the University of Florida, working with Dr. Peter Kvam. I received multiple awards to develop machine learning approaches to model fitting and joint modeling of various types of data. Throughout my graduate career, I have been working on projects related to modeling anticipatory decision-making and timing, pricing of delayed prospects, decisions among alternatives that change over time and various other higher cognitive functions that drive behavior such as procrastination.

  • Expertise AI, Computational Modeling, Bayesian Methods
  • Residence USA
  • Expected Graduation 2025
  • e-mail k.sokratous@ufl.edu
  • Dissertation ML Methods for the Discovery of Latent Structures

What I Do

Research

Decision-making, risky and intertemporal choice/valuation, procrastination, humans vs machine behavior, timing, description vs experience, multiattribute continuous tasks, connectionist models, AI (particularly Evolutionary Computation and RL), cognitive models, psych methods, theoretical modeling!

Data Science & Engineering

Probablistic modeling, inverse inference, deep learning for amortized inference, model automation and automated model comparison, simulation studies, variational inference, DL methods for alternative EDA, joint modeling for neural and behavioral data.

Technical Writing & Teaching

Subject matter expertise in areas of cognitive neuroscience, clinical and social psychology,cognitive science, and AI. Writing, editing, research, and audience analysis. Course development, course instruction, communication, public speaking, and collaboration.

Management

Project management and organization, research and information management, people management, mentoring of subordinates and peers, management of collaborations and data!

References

Funded by

Most Recent Work

2024
Psychological Review In Press
Decisions among shifting choice alternatives reveal option-general representations of evidence.
Kvam, P. D., Sokratous, K., & Fitch, A.
2024
JEXP General Under Review
Time flips and price dips: Modeling preference reversals between intertemporal choice and pricing
Sokratous, K. & Kvam, P. D.

Fun Facts

Fav Coding Language

Python

See me next

Psychonomics 2024

Languages

4

Short Resume

Experience

2024 - Current
Ohio State University

Visiting Scholar

One year visit at the Department of Psychology with the goal to work on experiential vs descriptive decision-making and joint modeling of various sources of data.

2020 - Current
University of Florida

Graduate Research Assistant

Research projects on computational modeling and Bayesian models of cognition, agent-based and quantum models of decision-making. Probabilistic programming with PyMC, Stan, and JAGS. Use of deep neural networks for automated model fitting, model comparison, joint modeling, and exploratory data analysis.

2016 - Current
CCIF Cyprus

CEO & Co-Founder

Non profit organisation, funded by European Union initiatives, active in the domain of women's right, immigration integration, and youth mentoring.

2024
University of Florida

Teaching Instructor

Instructor for PSY2012 - General Psychology. Class size: 48
Materials will be posted in the blog section.

2018 - 2020
Olea Medical/ Canon Inc

Operations Analyst

Policy and model moderation, strategy iteration and optimization of data pipelines for automated diagnosis.

Education

2020 - Current
University of Florida

Ph.D, M.Sc Psychology (Behavioral & Cognitive Neuroscience)

Thesis: "SINs: Simulation Inversion Networks for Automated Modeling"
Dissertation:"ML Methods for the Discovery of Latent Structures"
Advisor: Dr Peter Kvam

2018 - 2019
Montpellier Business School

M.Sc Operations Management

Industry funded

2013 - 2018
University of Montpellier III

BA, M.Sc Clinical Psychology

Coding Skills

Python

95%

R

65%

HTML/CSS/Js

75%

Matlab

80%

Select Publications

  • 2024
    Psychological Review

    Decisions among shifting choice alternatives reveal option-general representations of evidence

    Kvam, P. D., Sokratous, K., & Fitch, A.

  • 2024
    Decision

    Using artificial intelligence to fit, compare, evaluate, and discover computational models of decision behavior

    Kvam, P. D., Sokratous, K., Fitch, A. K., & Hintze, A.

  • 2023
    Journal of Choice Modeling

    How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices

    Sokratous, K., Fitch, A. K., & Kvam, P. D.. (link)

  • 2024
    Behavior Research Methods

    Improving the reliability and validity of the IAT with a dynamic model driven by similarity

    Kvam, P. D., Irving, L. H., Sokratous, K., & Smith, C. T.

Knowledges

  • Neural Networks/RL
  • Data Engineering
  • Evolutionary Computation
  • Data Analysis
  • EEG/fMRI
  • Cognitive Science
  • Problem-Solving
  • Project Management
  • Computational Modeling

Awards

$36,000

A.G. Leventis Foundation Educational Grant
2022-2024

$45,000

UF Informatics Institute AI Fellowship
2021

Projects (Under Construction)

Project 1

Deep Learning for Parameter Estimation and Model Comparison

Deep Learning
Project 2

Variational Autoencoders for Latent Structures

Deep Learning
Project 3

Modeling Anticipatory Timing

Cognitive Modeling

Blog (Under Construction)

Contact

USA

k.sokratous@ufl.edu

Consulting Available

How Can I Help You?