Michael J Kleiman

Michael is an assistant scientist at the Comprehensive Center for Brain Health located at the University of Miami Miller School of Medicine. He specializes in using artificial intelligence and machine learning techniques to investigate the cognitive behavior and medical records of patients with Alzheimer's disease and other forms of dementia, enabling the disorders to be more accurately and thoroughly researched.

Michael received his doctorate from Florida Atlantic University by exploring the ability to streamline Alzheimer's detection in clinical settings using electronic medical records.

 

What I Do

Behavior Analysis

Michael specializes in using behavior (gaze, speech, physical movements and computer mouse movements) to investigate how and what people are currently thinking and how that thinking compares to others, enabling the measurement of cognitive functioning and the detection of psychological disorders and personality types.

Presenting and Teaching

Michael is highly proficient in presenting complex subjects to the general public, having presented to investors and judges as Founder of his company SciKey, disseminated research at scientific conferences, taught neuroscience, psychology, statistics, and scientific writing to undergraduates, tutored high school and undergraduate students in psychology, statistics, and jazz, and proposed/defended his master's and doctoral thesis.

Data Science

Using Python and R, Michael is able to quickly analyze and transform data, identify trends using statistical expertise, develop machine learning algorithms and pipelines, and prepare professional presentations and memos.

Computer Vision

Michael has experience using convolutional neural networks, including capsule-based derivatives, to classify image and video data. Examples include detecting Alzheimer's disease from volumetric MRI scans and identifying a person's current task through translating time series eye movement behavior into CNN-readable sequential image formats.

Testimonials

Resume

Scientist, Programmer, Instructor

Experience

2020 - Now
University of Miami, Miller School of Medicine

Assistant Scientist

Investigate patient behavior and medical records to improve the detection of cognitive disorders, including Alzheimer's disease and other dementias

2019 - 2020
Florida Atlantic University

Adjunct Professor

Instructor of Neuroscience, Human Development, and Cognition

2016 - 2018
VoxelRx

Data Science Intern

Developed deep learning models to classify Alzheimer's disease from MRI scans // Cleaned and restructured behavioral and neuroimaging data // Prepared visualizations using Tableau and Python

2013 - 2019
Florida Atlantic University

Graduate Teaching Assistant and Researcher

Used deep learning to categorize human populations based on behavioral and cognitive data, including personality typing, chess expertise prediction, and clinical disorder classification // Mentored undergraduate students in research, programming, and writing // Prepared lectures, created and graded assessments, and provided continuous feedback

Education

2019
Florida Atlantic University

Ph.D in Experimental Psychology

Focus: Deep learning classification of dementia subtypes using electronic health records, cognitive exams, behavioral tasks, and physical functioning data

2016
Florida Atlantic University

M.A. in Psychology

Focus: Using eye movement behavior to investigate how people act differently in video conferences when they can or can't be seen

2012
Florida State University

B.S. in Biology and Psychology

Focus: Circadian rhythms in D.melanogaster and humans

Data Science

Programming (Python, R, SQL)

Statistics

Machine Learning

Audiovisual Deep Learning

Data Wrangling, Feature Engineering

Regular Science

Experiment Design

Research and Literature Review

Scientific Writing

Public Speaking

Kinda Science

Teaching

Graphic Design

Logo Design

Not Science

Trumpet

Guitar

Singing/Songwriting

Projects

My Works

Selected Publications

Screening for Early-Stage Alzheimer’s Disease Using Optimized Feature Sets and Machine Learning
Kleiman, Barenholtz, & Galvin, 2021

Perception of being observed by a speaker alters gaze behavior
Kleiman & Barenholtz, 2020

 

The rest of my publications can be found on my Google Scholar or OrcID

Projects

Generation of optimized, cost-sensitive feature sets to enable quick screening of mild dementia

Generation of optimized, cost-sensitive feature sets to enable quick screening of mild dementia

Dementia, Machine Learning
Perception of being observed by a speaker alters gaze behavior

Perception of being observed by a speaker alters gaze behavior

Behavior Analysis, Gaze behavior
Current Task Classification

Current Task Classification

Behavior Analysis, Gaze behavior, Machine Learning
Depression Detector

Depression Detector

Behavior Analysis, Gaze behavior, Machine Learning

Contact

Get in Touch

561-252-263Eight

Boca Raton, FL

michael@kleiman.me

Always Open to Collaboration

Send me a message

Michael J Kleiman

Michael is an assistant scientist at the Comprehensive Center for Brain Health located at the University of Miami Miller School of Medicine. He specializes in using artificial intelligence and machine learning techniques to investigate the cognitive behavior and medical records of patients with Alzheimer's disease and other forms of dementia, enabling the disorders to be more accurately and thoroughly researched.

Michael received his doctorate from Florida Atlantic University by exploring the ability to streamline Alzheimer's detection in clinical settings using electronic medical records.