Machine Learning Engineer

Heather Hall

👋 Hi, My name is Heather Hall.

I am a Machine Learning and Data Visualization Engineer. I have worked in the healthcare industry as a data scientist and have a strong scientific biological background & extensive machine learning/statistics experience. Most recently I led efforts -both in technical delivery and partner relationship- with the US Food and Drug Administration (FDA) that beat the state-of-the art models for a particular health condition. (press release)

I am interested in developing products that enable powerful analytics, and allow users to analyze visually what is happening throughout the process. This is essential for the communication of compelling narratives from complex and large datasets.

As someone who thrives on collaboration and organization, I am looking for a software engineering leadership position in a product-focused organization.

Degrees: PhD, MS, BA

Mail: hhall@alumni.stanford.edu

LinkedIn: heatherhallME

GitHub: heatherhall

What I Do

Skills

Software Engineering

python and R (expert), C/C++ (formally trained), MATLAB and perl (proficient), SQL, bash and unix (proficient), version control (git)

Data Science

strong statistics training & experience, unsupervised clustering, predictive modeling, Bayesian causal modeling, time series analysis, image analysis & segmentation, cloud computing (mostly AWS), Parallel computing experience

Technical Leadership

Led collaborations with engineering team to incorporate code from client engagements into product for more generalized use. Led and executed model development for client engagements.

Data Visualization

Interactive Dashboards (RShiny, Dash, Tidyverse, Bokeh), OpenGL - formal training, Unity, Blender, threeJS, Processing, D3, Augmented Reality (Microsoft Hololens), HTML/CSS/javascript (basics)

Biomedical informatics

Clinical data mining (EHR), genome/transcriptome analysis, microarray analysis, molecular dynamics simulation

Life Sciences and Experimental Research

strong knowledge and experience in techniques for molecular biology, biochemistry & cellular biology including. bacterial, mammalian & stem cell biology.