Adú Matory,
Data Scientist

I'm a neuroscientist with + years of academic research and software development experience on brain & mental health projects. I specialize in neurocognitive biomarker discovery, data strategy, and advanced statistical modeling. I excel at project management, experimental study design, and leveraging cutting-edge technologies to drive development in healthcare. Seeking expert data science assistance? I offer comprehensive professional services tailored to your needs.

Services

Here's how I can help with your next project. You can reach me at nulladunull@nulladumatorynull.com.

Data Analysis

Hunting for key insights in your organization's data?

I can help you find actionable trends to drive critical decisions.

Organization X wants to better understand people who use its services but requires analytic expertise to identify user sub-groups. After a consultation, a data sharing agreement is set up and Adú applies analyses to Organization X's data. Adú creates a report and presents findings to Organization X, which then uses to support decision-making.

Software Engineering

Need help implementing your software project?

Use my expertise in statistics & ML to build a powerful analytics pipeline.

Organization X is creating new software to improve users' mental health and wants help extracting informative cognitive indicators. After a consultation where Organization X clarifies aims and technical requirements, Adú creates a software package that analyzes the data and outputs features in a predefined format. Adú transfers ownership of the package to Organization X and provides guidance for how to integrate it into their software.

Data Strategy

Want to leverage the full power of your organization's data?

Work with me to identify use cases and solutions that will unlock new value for your organization.

Organization X wants to generate reports more efficiently but seeks guidance on how to better leverage its disparate data sources. After a consultation, Adú interviews key stakeholders to identify how they need to interact with Organization X's data then delivers a diagram of data processes as well as recommendations for tools and rules that Organization X can implement to improve its data integrity and management.

Study Design

Want to properly explore your latest hypothesis?

I'll help you formulate a study that's feasible, ethical, and worth it.

Organization X wants to understand how its users interact with its services but seeks expertise in designing and executing experiments. After a consultation where Organization X provides context, Adú creates a bespoke experimental design, including guidance on informative data to collect and statistical analyses, that Organization X can use to begin executing.

Manuscript Editing

Need an extra hand with your upcoming article submission?

I can help you proofread, format and turn your scientific prose into poetry.

Before Author X submits their scientific paper to a journal, they want to ensure their manuscript is mistake-free and easily digestible in English. After a consultation where Author X provides more information, Adú proofreads the manuscript, suggesting edits for grammar, style, and content. Adú sends the marked-up manuscript to Author X, who can then make corrections before journal submission.

Public Speaking

Want an expert in computational methods for mental health research to speak at your next event?

I'm available for conferences, retreats, workshops, and more.

Organization X is hosting a training for their team and seeks an expert to give an intro to digital health, psychedelics in healthcare, or precision psychiatry. After a consultation to establish learning objectives, Adú creates tailored presentation to deliver at Organization X's upcoming event.

Selected Publications

NBS-Predict: A Prediction-based Extension of the Network-based Statistic

Serin E, Zalesky A, Matory A, et al.

Neuroimage, Dec 2021

MATLAB

Statistics and Machine Learning Toolbox

Parallel Computing Toolbox

Feature Selection

Mass Univariate Analysis

Resting-state fMRI

Network Analysis

Neural Biomarkers

Precision Medicine

Electrocerebral Signature of Cardiac Death

Matory A, Alkhachroum A, Chiu WT, et al.

Neurocritical Care, Jun 2021

Python

MATLAB

xarray

Pingouin

scikit-learn

Chronux

Time-frequency analysis

Two-sample comparison

EMR Scraping

EEG

Continuous Vital Sign Monitoring

Cardiac Arrest

Organ Donation

Quantifying perceptual efficiency of data visualizations

Sven O, Matory A, & Rolfs M.

TeaP Conference of Experimental Psychologists (Abstract), Mar 2020

R

Python

RStan

lme

maxLik

statsmodels

SciPy

Parameter Estimation

Bayesian Hierarchical Modeling

Visual Design Principles

Speed-Accuracy Paradigm

Numerical Optimization

Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury

Claassen J, Doyle K, Matory A, et al.

New England Journal of Medicine, Jun 2019

Python

R

MNE

scikit-learn

SVM

Motor Imagery Paradigm

EEG

Consciousness

Coma recovery

Outcome Prediction

Deep structural brain lesions associated with consciousness impairment early after hemorrhagic stroke

Rohaut B, Reynolds A, Igwe K,...Matory A, et al.

Scientific Reports, Mar 2019

R

glmnet

Logistic regression

ElasticNet

Command Following Paradigm

sMRI

Levels of Consciousness

Recovery Prediction

Experience

— Notable Projects —

Digital Therapeutics Platform for Psychotherapy

Cybin, Inc., 2021 - 2022

Python

AWS

WandB

lightgbm

bayes_opt

NetworkX

PuLP

NLTK

Feature Engineering

Biomarker Discovery

Psychedelics

Personalized Therapy

Multimodal Signal Processing

Gamification

Patients often struggle to transform motivation found during therapy sessions into behavioral change in their everyday lives. I invented an ML signal processing algorithm that uses data from multiple devices to facilitate treatment and evaluate patient outcomes. I led the project through proof-of-concept, coordinating an international team in Europe, North America and Southeast Asia, and co-authored a patent for its use in psychotherapy, adding a 13th patent to the IP of a growing NYSE-traded startup.

Finding Neural Correlates of Personality

Charité - Universitätsmedizin Berlin, 2019 - 2020

Python

Bash

PyTorch

scikit-learn

xarray

Convolutional Neural Network

SVM

task fMRI

Graph Theory

Personality

Personalized Medicine

Associated with mental disorder severity, personality type is rarely leveraged in psychiatric treatments. A better understanding of its neural basis might be used to improve and personalize clinical care. I built an application that automates training and comparison of ML and deep learning models that predict personality type from a 17TB fMRI dataset. Researchers with little mathematical knowledge can easily find optimal training parameters, explore neural correlates, cluster personality subtypes, and visualize results, furthering their search for reliable neural predictors of psychiatric disease.

Optimizing Performance of a Deep Generative Model

Technische Universität Berlin, 2021

Python

PyTorch

Theano

Keras

Infinite Dimensional Representations

Variational Auto-Encoder

t-SNE

kNN

(Semi-)Supervised Classification

Variational Inference

Generative Models

Variational Auto-Encoders (VAEs) are a powerful tool to approximate processes that generated observed data, but the latent processes they learn are not always meaningful. I conducted a study to evaluate various parameterizations for the Stick-Breaking VAE (SB-VAE), a novel VAE with infinite capacity that learns a continuous and complete latent space. I discovered optimal SB-VAE parameters that maximize the likelihood of reconstructed data by as much as 37%, while reducing training time by more than half.

— Curriculum Vitae —

Want to learn more about me? Click the link below to read my CV.

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