CV

Link to PDF copy

Education

• B.S. in Applied Mathematics & Statistics, B.S. in Philosophy, Stony Brook University, 2019
• M.S. in Data Science, CUNY Graduate Center, 2022

Work experience

• Jun 2022 - Present: Data Science Analyst
  • Shen Laboratory, Department of Neuroscience
  • Icahn School of Medicine at Mount Sinai
  • Topics: Machine learning and AI for medical imaging, omics data analysis, electrophysiology, genomics, and automation of behavioral experiments
• Aug 2020 - Jun 2022: Graduate Research Assistant
  • Distributed Artificial Intelligence Laboratory
  • CUNY Graduate Center & Hunter College
  • Topics: Clinical Informatics, Statistical Machine Learning, Reinforcement Learning, Clinical Decision-Support AI Systems
  • Supervisor: Dr. Anita Raja, Ph.D., Professor of Computer Science, Hunter College
• Summer 2021: Research Data Scientist Intern
  • Digital Health / Clinical Insights Team
  • Janssen Pharmaceutical Companies of Johnson & Johnson
  • Topics: Wearable Biosensors, Digital Biomedical Signal Processing, Time-Series Analysis, Big Data Analytics, Predictive Modeling
  • Built a pipeline for the identification of digital biomarkers of sleep and activity in immunological-disordered UK Biobank participants using wearable sensor data.
  • Supervisor: Dr. Meenakshi Chatterjee, Ph.D., Senior Scientist, Johnson & Johnson

Skills

• Data Science / Machine Learning / Scientific Programming (Python)
  • NumPy
  • Pandas
  • Scikit-Learn
  • Tensorflow / Keras
  • PyTorch
  • PyTorch-Geometric
• Data Visualization
  • Matplotlib
  • Plotly
  • Seaborn
• Image Processing
  • OpenCV (Python)
  • Scikit-Image
• Data Science / ML Theory
  • Logistic Regression / Elastic-Net
  • Decision Trees
  • Ensemble Tree Methods (Boosting, Bagging, Random Forest)
  • Meta-Ensembling (Stacked Generalization, Inheritance)
  • Support Vector Machines / Kernel Methods
  • Deep Convolutional Neural Networks
  • Multilayer Perceptrons
  • Reinforcement Learning
  • Transformers
  • Implicit Neural Representations

Publications

Data Preparation of the nuMoM2b Dataset

Goretsky, A., Dmitrienko, A., Tang, I., Lari, N., Kunhardt, O., Khan, R. R., ... & Gyamfi-Bannerman, C. (2021). Data Preparation of the nuMoM2b Dataset. medRxiv.