Brandon K.

Key Skills

Software

Other

Top Subject Matter

Emotion elicitation using digital images for psychological research

Facial expression analysis and emotion-aware human-computer interaction

AI tutoring evaluation through behavioral coding of user interactions

Top Data Types

Image

Video

Top Task Types

Emotion Recognition

Data Collection

Freelancer Overview

Doctoral Researcher. Brings 22+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Adobe Lightroom, Python, and RStudio. Education includes Doctor of Philosophy, University of California, Davis (2019). AI-training focus includes data types such as Image, Video, and Computer Code and labeling workflows including Emotion Recognition and Data Collection.

Labeling Experience

Project Lead — High-resolution Database of Digital Images for Eliciting Emotion (2020–Present)

ImageEmotion Recognition

Led the creation and evaluation of a high-resolution digital image database for eliciting emotion using self-report, cognitive assessments, and physiological outcomes. The work involved selecting, filtering, and curating large image sets into predefined content categories and thematic clusters for downstream rating and analysis. Metrics of image luminance, contrast, color composition, and entropy were extracted to optimize images for emotional impact and category fit. • Selected and filtered 70,000+ images into 7 global content categories and 90 thematic clusters • Edited images for color composition, white balance, exposure, shadowing, and lens distortion • Visualized 90,000+ image ratings to produce a final optimized set of 1,440 images • Used Python to compute quantitative visual metrics supporting emotional elicitation optimization

2020 - Present

Independent Consultant — Facial Emotion Detection and Human–Computer Interaction (2011–2015)

OtherVideoEmotion Recognition

Analyzed facial behavior in video and image data using the Facial Action Coding System (FACS) to study nonverbal communication in human–technology interactions. Collaborated with a company to train machine learning algorithms to identify facial expressions that support emotion-aware technologies and adaptive user interfaces. Provided consulting across multiple academic and research organizations to apply emotion analysis to understand user behavior and decision-making. • Performed FACS-based analysis of facial expressions from video and image inputs • Helped train ML models for facial expression recognition in emotion-aware interfaces • Consulted on emotion analysis for understanding user behavior and decision-making

2011 - 2015

Assistant Researcher — Student Learning with Intelligent Tutoring Systems (2005–2007)

Data Collection

Supported user studies and behavioral coding to evaluate student interactions with AI-driven tutoring systems. Transformed observed interaction behaviors into actionable insights used to improve the educational interface and tutoring dialogue experience. The effort required structured collection and organization of interaction data for analysis rather than traditional manual labeling workflows. • Assisted with behavioral coding of student interactions with AI tutor systems • Collected and organized study observations for evaluation • Produced actionable insights for improving AI tutoring interaction design

2005 - 2007

Education

Work History