🎓 Postdoctoral Fellow @ Indiana University–Purdue University Indianapolis
🔬 Computational Biologist | AI Researcher | Cancer Genomics Enthusiast
🌎 Passionate about decoding cancer through data-driven methods
I'm a researcher working at the intersection of Artificial Intelligence, Single-cell Transcriptomics, and Spatial Omics, with a particular focus on Hematologic Malignancies. I specialize in building scalable AI tools and models to better understand tumor microenvironments and predict treatment outcomes.
My background spans:
- Deep learning model development (MLP, TabPFN, attention-based models)
- Spatial and single-cell transcriptomics analysis (Seurat, Scanpy, STUtility, Squidpy)
- Cancer biology interpretation with zero formal background in biology 😄
- Manuscript writing, figure generation, and visual storytelling
- 🧠 AI-based prediction of stem cell mobilization success using baseline and post-G-CSF CBC data
- 🧭 Attention aware models to unify predictions across domains
- 🧬 Spatial transcriptomics analysis of pancreatic tumors to uncover cell-type interactions and pathway activations
- 🧾 Contributing to multiple manuscripts and collaborative research on stem cell transplantation and cancer diagnostics
Languages: Python (primary), R, LaTeX
Libraries: TensorFlow/Keras, scikit-learn
Bioinformatics: Seurat, Scanpy, Squidpy, scVelo, Harmony, CellPhoneDB
Visualization: matplotlib, seaborn, plotly, ggplot2, Adobe Illustrator
Platforms: GitHub, Google Colab, VSCode, HPC clusters
- I come from a computer science background and transitioned into cancer genomics without prior biology experience
"Science isn't finished until it's communicated." — Sir Mark Walport
Thanks for visiting! ⭐️