Rachel Millin
ML for Medical Imaging
- Role
- Machine Learning Engineer at Caption Health
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Rachel Millin
I strive to gain insights into human health and behavior from data, with the aim of developing products with positive impact. Machine learning: linear and logistic regression, SVM, convolutional neural network (CNNs), deep learning, computer vision, random forest; PCA, dictionary learning, clustering; NLP, cross-validation, transfer learning. Statistics: parametric (GLM, ANOVA, t-test) and non-parametric (bootstrapping, chi-square, K-S test).Computing and data analysis tools: Python (NumPy, pandas, Matplotlib, scikit-learn, OpenCV, Keras, TensorFlow, Tensorflow Lite), Jupyter notebooks, Matlab, bash shell, git; exposure to SQL, HTML, Flask.Signal and image processing: psychophysics (behavior), medical imaging & timeseries (ultrasound, MRI/MRS/fMRI, and EEG), eye-tracking.
Experience
Machine Learning Engineer
Mar 2023 — Present
Education
University of Southern California
Doctor of Philosophy (Ph.D.), Neuroscience
2008 — 2014
UCLA
Bachelor of Science (B.S.), Physics
1999 — 2002
Skills
- Experimental Design
- Neuroscience
- Machine Learning
- Psychophysics
- Data Analysis
- Mri
- Image Processing
- Teaching
- Cognitive Neuroscience
- Research
- Science
- Statistics
- Fmri
- Experimentation
- Matlab
- Computational Modeling
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