BIOMEDICAL RESEARCH · APPLIED ML · DATA ENGINEERING
Connecting biology,
data & useful AI.
I’m Ashray. I combine a background in neuroscience and laboratory research with experience in data engineering, applied machine learning, and technical mentoring.
My work explores biomedical knowledge graphs, drug–target prediction, and the data workflows that make analysis useful.
Interested in healthcare AI, data engineering, and technical consulting opportunities.
View CV ↗SELECTED WORK
From biological questions
to working methods.
BIOMEDICAL ML / INDEPENDENT EXPLORATION
Investigating gene relationships with knowledge graphs
Preparing graph data, comparing link predictions with simple baselines, and examining the evidence around NLRP3 and LGALS3.
MOLECULAR ML / CAPSTONE PROJECT
Learning from compounds and protein sequences
A drug–kinase modelling workflow combining molecular fingerprints, protein representations, and regression models.
TECHNICAL EDUCATION / DATA PRACTICE
Making technical methods usable
Interactive Python learning materials, data engineering curriculum, and mentoring for applied data projects.
HOW I CAN CONTRIBUTE
Scientific context. Practical delivery.
Applied biomedical ML
Biological data preparation, exploratory modelling, baseline comparisons, and careful interpretation of predictions.
Data engineering
Python and SQL, API-based data collection, data integration, database design, and reproducible workflows.
Technical consulting & mentoring
Translating requirements, documenting methods, developing learning resources, and helping people communicate technical decisions.
WRITING & LEARNING
Working through the ideas.
Earlier tutorials on molecular machine learning, graphs, and communicating with data.
LET’S TALK
Working on a useful
problem in health or data?
I’m interested in roles and project conversations that bring scientific understanding and practical implementation together.
Email Ashray ↗Download my CV