Long Luu, Phd Email & Phone Number

Franklin, Tennessee, Us

Cambridge, Cambridgeshire, Gb

• Develop, validate and deploy a digital composite endpoint algorithmto support multiple event-driven clinical trials in asthmaand COPD that can reduce the number of patients and the trialduration by up to 50%.• Lead a collaborative effort with stakeholders from Mobilise-Dconsortium (20 public institutions, 10 pharmaceutical and 2tech companies) to validate digital mobility algorithms on AstraZeneca’sheart failure clinical trials.• Advance the adoption of digital mobility endpoints in clinicaltrials by publishing a review paper with various stakeholders,testing wearable devices, and developing machine learning algorithmsto derive physical activity from accelerometer data.• Develop and validate Transformer-based NER and QA systemsto extract actionable insights from clinical texts.• Apply machine learning and statistical analyses to predict risksof adverse events in oncology trials.• Develop a digital system to detect cough from audio recordingsusing machine learning models (XGBoost, YamNet).

Cambridge, Cambridgeshire, Gb

• Performed statistical analysis, machine learning modeling andvisualization on clinical trial data to provide clinical stakeholdersinsights into the role of physical activity in heart failure.• Used transfer learning on neural networks to accurately derivestep count from wearable devices ( 99%).• Applied Gaussian Process models (scikit-learn, gpflow) on continuousglucose monitoring data for patient clustering.• Used generative AI to generate synthetic medical data such asEHR (with Synthea) and time series data (with TimeGAN).• Worked with various stakeholders to transfer, extract, and managelarge clinical dataset (up

New York, Ny, Us

• Performed statistical analysis and developed ML models (logisticregression, Bayesian model) for human vision.• Conducted 4 human experiments to validate ML models.• Applied state-of-the-art deep learning algorithms (styleGAN,CNN) to study human brain.• Developed and validated several deep learning models to detectcancer tumor in CAMELYON16 dataset.• Performed visualization and exploratory analysis of COVID-19data to gain insights into the disease.• Gained insight into job postings with natural language processingand ML models.

Philadelphia, Pa, Us

• Developed highly intuitive ML models to accurately capture 12datasets on human decision-making.• Conducted 8 human experiments to validate ML models.• Performed rational analyses of ML models.• Developed computer vision models for human scene perception.• Classified user’s emotion from Twitter posts.• Published 3 papers in prestigious scientific journals and presentedat scientific conferences (2 selected talks, 6 posters).

Washington, Dc, Us

• Performed experiments using behavioral measure and neural recording (EEG) to study the brain’s fast pathways of visual processing.• Performed statistical analysis of neural data and make visualization to gain insight and inform computational models of the brain’s information processing.

Washington, Dc, Us

• Developed a computer vision software to diagnose diabetes ina team of 11 engineers and medical doctors.• Developed and validated computer vision algorithms to noninvasivelymeasure blood flow.• Fabricated artificial prototypes of human tissues (blood vessels,skin) with laser machine and 3D printer.

Washington, Dc, Us

• Collaborated with lab members to develop an advanced computervision software.• Improved and validated the accuracy of a computer vision algorithmthat tracks objects’ properties over time.

Doctor Of Philosophy (Phd), Computational Neuroscience

Bachelor Of Engineering (Be), Electrical Engineering

Electrical And Electronics Engineering