COMPUTATIONAL NEUROSCIENCE · DEEP LEARNING · BIOMECHANICS

Simone (Chang Hui) Lin

Ph.D. Candidate — Computational Neuroscience

Neuroscience, Time Series Analysis, and Motor Control.

◈ MULTIMODAL SIGNAL ANALYSIS FZ · 1000 Hz
EEG (Cz)
EMG (TA)
MoCap (Ankle)
ECG (Lead II)

Research

I am a biomedical engineer and neuroscience researcher with a background in computational modeling, AI-driven data analysis, and physiological signal processing. My current doctoral research focuses on using contrastive learning and deep learning representations to analyze clinical neural and behavioral data, aiming to uncover the underlying mechanisms of human motor control and its disorders.

Affiliation
IIT@CTNSC · Univ. of Camerino & Ferrara
Supervisor
Alessandro D'Ausilio
Based in
Ferrara, Italy

Publications

Published

2024

Utilizing power spectra and derivatives for deep learning-based prediction of ECG characteristics

Haggard L., Lin C. H. S., Ferlay C. G., Schoenmaker C., Graff C., Linz D., Thambavita V., Nørregaard M., Isaksen J. L., Riegler M., Kanters J. K.

Journal of Electrocardiology, 84, 20-21 (Abstract)

Conference Abstracts

2026

Contrastive Learning Reveals Distinct Temporal Timescales for Task Execution and Adaptation in Robot-Assisted Reaching

Lin C. H. S., Corsini A., Oliveira Da Silva Filho G., Koul A., D'Ausilio A.

Conference abstract submitted to the 2026 European Congress of Physiology FEPS-SIF

Time Contrastive Learning vs Linear baseline (NMF) in robot-assisted reaching.

Time Contrastive Learning vs Linear baseline (NMF) in robot-assisted reaching.

Research Experience

PhD Researcher

Center for Translational Neurophysiology of Speech and Communication, IIT@CTNSC · 2025 - Present

Applying contrastive learning algorithms to clinical neural and behavioral data

◈ Supervisor: Alessandro D'Ausilio

Laboratory Assistant

Neural Circuitries and Motor Repair Laboratory, University of Copenhagen · 2024 - 2025

Analyzed behavioral experimental pose data in MATLAB and Python. Engineered an automated pipeline for pose data analysis and feature extraction across healthy and pathological preclinical CNS models

◈ Supervisor: Carmelo Bellardita

Research Intern

Danish Research Center for Magnetic Resonance (DRCMR) · 2024

Analyzed and extracted physiological features from clinical electromyographic (EMG) and accelerometer signals to assess reaction times during a psychological conflict task

◈ Supervisor: Lasse Christiansen

Research Intern

Laboratory of Experimental Cardiology, University of Copenhagen · 2023

Extracted physiological features from electrocardiogram (ECG) signals using neural networks and evaluated model performance against ground truth with RMSE

◈ Supervisor: Jørgen K

Bachelor Research Intern

Humanitas Research Hospital · 2022

Analyzed experimental effects of chemotherapeutic drugs on OCI-LY19 cancer cells. Implemented a mathematical model to fit human lymphoma cell response

◈ Supervisors: Giustina Casagrande & Maria Laura Costantino

Education

Ph.D. in Computational Neuroscience

University of Camerino, University of Ferrara & IIT · 2025 - Present

◈ Supervisor: Alessandro D'Ausilio

M.Sc. in Biomedical Engineering

Technical University of Denmark (DTU) & University of Copenhagen (KU) · 2023 - 2025

Thesis: Computational Tool for Quantifying Movement Patterns: Linking Neural Activity to Behavior · Grade: 12 (Maximum Danish mark)

◈ Supervisors: Carmelo Bellardita, Silvia Tolu

B.Sc. in Biomedical Engineering

Polytechnic University of Milan · 2019 - 2023

Thesis: Individuation of a Mathematical Model to Describe Tumor Cell Growth Alterations When Subjected to Chemotherapeutic Drugs

◈ Supervisors: Maria Laura Costantino, Giustina Casagrande

Selected Projects

Microstructure analysis with confocal laser scanning microscopy

DTU · 2024

MicroscopyImage AnalysisFIJI

Biomechanical modeling of the human aorta, tendon, and femur

DTU · 2024

COMSOLFinite Element AnalysisBiomechanics

Robot sensor integration and decision making

DTU · 2024

ROS2RVizDecision Algorithms

Bio-inspired cerebellar controller for robotic arm

DTU · 2024

Bio-inspired AICerebellumRoboticsControl Theory

Skills & Stack

Programming

PythonMATLABRC/C++JavaSQLArduinoAssemblyBash

Data Science & ML

PyTorchTensorFlowKerasScikit-learnOpenCVPandasNumPy

AI Stack

Contrastive LearningEnergy-based ModelsTransformersAutoencodersRAGLLMs

Bio & Engineering Tools

COMSOLROS2RVizFIJISolidWorksEMG/ECG Signal Processing

Languages

Italian (Native)English (C1 Fluent)Chinese (B1)

Teaching & Outreach

Teaching

Physics for Medicine

University of Ferrara, Italy · 2026 (30 hours)

Calculus I

University of Ferrara, Italy · 2026 (30 hours)

Information Theory and Mathematics

University of Ferrara, Italy · 2026 (30 hours)

Numerical Methods in Python

Politecnico Open unix Labs, Italy · 2023 (12 hours)

Machine Learning with Keras

Politecnico Open unix Labs, Italy · 2022 (4 hours)

Arduino and IoT

Politecnico Open unix Labs, Italy · 2022 (4 hours)

Community Leadership

Honorary Member

Politecnico Open unix Labs · 2023 - Present

Secretary and Treasurer

Politecnico Open unix Labs · 2022 - 2023

10 hours/week managing operations, finance, and community workshops.

Conferences & Meetings

European Congress of Physiology: FEPS-SIF 2026

Brescia, Italy · 2026

NAD Annual Meeting 2024

Neuroscience Academy Denmark, Denmark · 2024

IN-Retreat

Copenhagen University, Denmark · 2024

Academic References

Assoc. Prof. Carmelo Bellardita

Associate Professor

Dept. of Neuroscience, Copenhagen University (KU)

cbellardita@sund.ku.dk

Assoc. Prof. Silvia Tolu

Associate Professor

Dept. of Electrical and Photonics Engineering, Technical University of Denmark (DTU)

stolu@dtu.dk

Assoc. Prof. Lasse Christiansen

Associate Professor

Danish Research Center for Magnetic Resonance (DRCMR)

lassec@drcmr.dk