About
I specialize in building reliable data infrastructure for life sciences problems from…
Experience
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Education
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Licenses & Certifications
Volunteer Experience
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Child Life Volunteer
Seattle Children's
- 8 months
Health
Working with the child life department to provide a companion for children for one to two hours in the evenings on Thursday. Delivering toys by request to their respective rooms. Maintaining a safe environment for children to play in the playroom.
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Volunteer
EvergreenHealth
- 2 years 2 months
Health
Ensured patients had warm welcoming as they entered the hospital. Directed and escorted visitors to their loved ones and appointments. Maintaining HIPAA compliance to ensure patient confidentiality. Operating under HIPAA compliance to check-in patients for surgery and coordinate with the Pre- and Post- Anesthesia care units to for patient care.
Courses
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Applied Machine Learning
W207
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Computer Vision
W281
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Data Visualization
W209
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Experimental and Causal Inference
W241
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Fundamentals of Data Engineering
W205
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Introduction to Python Programming
W200
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Research Design & Applications for Data Analytics
W201
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Statistics for Data Science
W203
Projects
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Therapeutic Accelerator GPT
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Through the use of NLP and TensorFlow libraries, we created a tool to help scientists stay on top of the field by providing summaries of scientific papers.
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Population Fluidity: Understanding U.S. Migration Patterns between 2010 - 2020
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We created visualizations to help people understand which states and counties people are moving to across the US. This data is from the American Community Survey (ACS) for the years 2010 - 2020. The aim of this project was to help policy makers and government officials plan for changes in infrastructure they would need to support their population.
Other creators -
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Breast Tumor Classification
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The purpose of this project is to create a tool to help experts classify breast tumors as either benign or malignant (cancerous) subtypes from histopathological images.
Github repo:
Honors & Awards
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Leadership Award
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Leadership Award
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Leadership Award
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Other similar profiles
Explore more posts
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Joachim Schork
Causal machine learning is emerging as a vital tool in precision oncology, offering a path to generate actionable insights from real-world data — especially for underserved and rare cancer populations. As multimodal data becomes more central to clinical trials, this approach could significantly enhance data-driven treatment decisions. Thank you for sharing this important work, Aleksander Molak. #CausalInference #PrecisionOncology #MachineLearning #HealthTech
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