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DChristensen12/README.md
Daniel's GitHub Header

I'm Daniel, a researcher at UC Berkeley and Lawrence Berkeley National Laboratory working where chemistry meets data science. I build machine learning and high-performance computing tools to take on hard problems in climate science and sustainable energy systems.

My curiosity also runs into nuclear science, green chemistry, and astrochemistry!

What I care about most is using computation to turn difficult scientific questions into working solutions, and carrying that work into the places where science actually meets the world.

 Rotating molecule, vanillin in light mode and uranocene in dark mode

Programming Languages

Languages Python C++ C Rust Java R SQL Bash
Machine Learning and Modeling PyTorch TensorFlow Scikit-learn NumPy Pandas
Data and Visualization Matplotlib Seaborn Plotly Tableau Jupyter
Platforms and Tools AWS Linux MySQL VSCode IntelliJ RStudio
Creative After Effects Photoshop

Laboratory and Instrumentation

Chromatography and Spectroscopy
HPLC TLC MS NMR

Microscopy
SEM AFM

Nuclear and Radiation Detection
HPGe Neutron Activation Liquid Scintillators

Materials and Fabrication
Photolithography CVD

Scientific Software
ChemDraw MestReNova Maestro GammaVision ImageJ LaTeX

Other things about me!

Favorite molecules by category:

⌬ Organic ⬡ Inorganic ⚛ Organometallic
Vanillin Plutonium(III) chloride Uranocene
It's what gives vanilla products their smell and taste! I love the tricapped trigonal prismatic geometry, and it's a green crystalline compound! It glows my favorite color, green, and contains my favorite element, uranium!

Beyond the lab:   I paint, work with ceramics, and draw, and I love turning complex ideas into colorful visualizations that actually click for the people I share them with. If there's a way to make something more colorful, I'll find it.

My Contributions, Spanned and Smoothed

contribution molecule network

contribution time series with trend

⋆.˚ Connect with Me

LinkedIn Gmail ORCID Hugging Face

Pinned Loading

  1. PROTON PROTON Public

    Physics-informed Radiation Operator and Time-series Optimized Network. This is a distributed scientific machine learning framework integrating physics-informed neural networks, stochastic quantum d…

    Python

  2. wobbleflow wobbleflow Public

    Normalizing flow methods for Bayesian inference of exoplanet orbital parameters from Keck/HIRES radial velocity data, applied to the K2-24 system.

    Jupyter Notebook

  3. SolvationNet SolvationNet Public

    Machine learning simulations to study the molecular structure and dynamics of sodium ion battery electrolytes

    Jupyter Notebook

  4. autonomous-cyberphysical-thermal-optimizer autonomous-cyberphysical-thermal-optimizer Public

    A Cortex-M7 cyber-physical framework running an on-chip 2D Gaussian Process with an ARM Thumb-2 assembly-accelerated Cholesky solver to autonomously tune a real closed-loop thermal control system

    C++

  5. StrawberryWatch StrawberryWatch Public

    Modular anomaly detection system for the Strawberry Creek urban watershed. Provides a suite of interchangeable models, including a temporal graph neural network, for real-time monitoring of sensor …

    Python 1

  6. Huckel-VQC Huckel-VQC Public

    A Quantum Convolutional Neural Network implemented via Variational Quantum Circuits to predict and classify molecular aromaticity under Hückel orbital theory.

    Python