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Hire Dr. Roman B.

United States

USD 250 /hr

Computational Neuroscientist | Neural Data Analysis & Genomics Integration | 14+ Publications

Profile Summary

I am a computational neuroscientist with over 10 years of experience developing data-driven solutions for complex biomedical challenges, including epilepsy prediction and Down syndrome neural characterization. With a PhD in Physics (summa cum laude) and extensive postdoctoral training across multiple international research institutions, I specialize in transforming neural data into actionable insights for healthcare applications. Research Expertise & Current Projects: Currently, I'm developing multiscale biophysical models of primary motor cortex (M1) that integrate behavioral data with low-dimensional neural manifolds. My work involves calibrating detailed computational models using Neuropixels recordings and creating digital twins of brain circuits. I'm also investigating how genetic mutations (ScN2A channelopathies) affect neural dynamics and developing spinal cord interneuron models for motor rehabilitation applications. Core Technical Skills: - Biomedical Signal Processing: EEG, ECoG, and high-frequency neural oscillation analysis - Machine Learning & Predictive Modeling: Classification algorithms for neurological disorders, BCI applications - Genomics Integration: Connecting genetic variations to neural function and behavior - Statistical Analysis: Information theory, nonlinear dynamics, stochastic processes - Programming: Python, R, MATLAB, C++, specialized neuroscience software (NEURON, NetPyNE) - High-Performance Computing: Large-scale neural network simulations Published Research Impact: Author of 14+ peer-reviewed publications in leading journals including eNeuro, PLOS Computational Biology, and Physical Review E. My research has contributed to understanding neural oscillations, developing biomarkers for epilepsy prediction, characterizing Down syndrome neural dynamics, and creating novel approaches for brain-computer interfaces. Notable Achievements: - Co-PI on $200,000 NSF ACCESS HPC Research Allocation for motor cortex modeling - Board Member, Organization for Computational Neurosciences (2025-2028) - Best PhD in Physics Award, National University of La Plata (2019) - Mentor for Google Summer of Code and CONICET PhD fellowships Collaborative Experience: I have successfully collaborated with interdisciplinary teams across neuroscience, physics, mathematics, and medicine. My experience spans mentoring students, leading international research projects, and translating complex scientific concepts for diverse audiences. I am passionate about leveraging computational approaches to advance our understanding of the brain and develop innovative solutions for neurological disorders and healthcare applications. Available for consulting on large-scale biomedical data analysis and machine learning integration projects.

Subject Matter Expertise

• ★ Omics
• ★ Data Analysis
• ★ Natural Language Processing
• ☆ Computational Neuroscience
• ☆ Computer Science
• ☆ Supercomputing
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Statistics
• ☆ Theoretical Physics
• ☆ Python
• ☆ R
• ☆ Software Development

Services

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

Writing Technical Writing, General Proofreading & Editing

Research Meta-Research, Fact Checking, Gap Analysis, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Healthcare Consulting, Scientific and Technical Consulting, Financial Consulting

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

Product Development Formulation, Product Evaluation, Concept Development, Prototyping, Reverse Engineering

Work Experience

SUNY Downstate Health Sciences University

January 2024 - Present

Louisiana State University Health Sciences Center New Orleans

May 2021 - January 2024

Postdoctoral Fellow

CONICET La Plata

April 2020 - May 2021

Education

PhD in Physics

National University of La Plata

April 2015 - December 2019

Certifications

• Certification details not provided.

Publications

PREPRINT

Roman Baravalle, Brandon Williams, Ananth Vedururu Srinivas, Fernando R. Fernandez, Carmen C. Canavier, John. A. White (2025). Fast spiking interneurons autonomously generate fast gamma oscillations in the medial entorhinal cortex with excitation strength tuning ING–PING transitions .

Roman Baravalle, Carmen C. Canavier (2023). Synchrony in Networks of Type 2 Interneurons is More Robust to Noise with Hyperpolarizing Inhibition Compared to Shunting Inhibition in Both the Stochastic Population Oscillator and the Coupled Oscillator Regimes .

JOURNAL ARTICLE

Roman Baravalle, Maria Bolla, Giulia Colombo, Matteo Falappa, Marta Pace, Nataniel Martinez, Fernando Montani, Valter Tucci, Laura Cancedda (2025). NKCC1 inhibition improves sleep quality and EEG information content in a Down syndrome mouse model . iScience.

Roman Baravalle, Guillem Via, Jonathan Rubin, Fernando R. Fernandez, John A. White, Carmen C. Canavier (2022). Interneuronal network model of theta-nested fast oscillations predicts differential effects of heterogeneity, gap junctions and short term depression for hyperpolarizing versus shunting inhibition . PLOS Computational Biology.

High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Chaos: An Interdisciplinary Journal of Nonlinear Science.

Roman Baravalle, Fernando Montani(2021). Heterogeneity across neural populations: Its significance for the dynamics and functions of neural circuits . Physical Review E. 103. (4). American Physical Society ({APS})

(2020). Higher-Order Cumulants Drive Neuronal Activity Patterns, Inducing UP-DOWN States in Neural Populations . Entropy.

(2019). Characterization of Visuomotor/Imaginary Movements in EEG: An Information Theory and Complex Network Approach . Frontiers in Physics.

(2018). Discriminating imagined and non-imagined tasks in the motor cortex area: Entropy-complexity plane with a wavelet decomposition . Physica A: Statistical Mechanics and its Applications.

(2018). Causal Shannon–Fisher Characterization of Motor/Imagery Movements in EEG . Entropy.

(2018). Rhythmic activities of the brain: Quantifying the high complexity of beta and gamma oscillations during visuomotor tasks . Chaos: An Interdisciplinary Journal of Nonlinear Science.

(2017). A path integral approach to the Hodgkin–Huxley model . Physica A: Statistical Mechanics and its Applications.

(2015). Causal information quantification of prominent dynamical features of biological neurons . Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.