I am an engineer βοΈ who specializes in designing, developing, and deploying computational tools to solve problems in chemistry and related scientific disciplines. I work with subject matter experts in fields like nuclear chemistry, food science, and ecology use machine learning, molecular simulations, and advanced modeling tools to make data-driven discoveries. I also work on designing self-assembling functional materials using tools from art and architecture in novel ways to program colloidal crystal assembly. I have a PhD in Chemical Engineering with a concentration in computational thermodynamics and a certificate in Computational and Information Science. I've worked in the field of chemometrics for most of my career. You can read more about ongoing research on ResearchGate.
Broad research areas include: π₯ Thermodynamics, π Material science, π£ Food authenticity, γ½οΈ Machine Learning
Some recent projects include:
Developing tools for advanced isotope metrology- π§ Predicting fluid phase thermodynamic properties with deep learning and coarse-grained modeling
- π Authenticating food labeling claims with chemometric tools
- π¦ Analyzing trends in biorepositories using explainable machine learning
- β’οΈ Identifying materials using nuclear spectroscopy methods
- π Designing colloidal self-assembly by tiling Escher-like patterns
- π¬ Extractive summarization of scientific data and documents with large language models
π Notes and HowTo are available as Gists.
| π Cloud dev environment | π¬ LLM Tools | π¬ Chemistry | π» Other |
|---|---|---|---|
| Paperspace Gradient | OpenAI API | Deepchem | π§ Dracula Theme |
 Copilot |
Langfuse Dashboard | PySCF | Streamlit |
| Google Colab | LangChain | DeepMD-kit | FastAPI |
| Weights and Biases | π¦ LlamaIndex | RDKit | |
| π€ Huggingface | |||
| Ollama |