I’m Daniel, the founder of NirPy Research and its parent company Instruments & Data Tools. Over the years, I’ve worked with a diverse clientele across industries, research institutions, and public service organisations worldwide, providing cutting-edge consulting services and training in chemometrics, statistical learning, and data visualisation.
 
Schedule a 15-minute call with me
 

Our approach

At NirPy Research, we pride ourselves on our personalised, results-driven approach. I work closely with each client to:

  • Optimise your data acquisition processes
  • Enhance your experimental efficiency
  • Develop and deploy production-ready models tailored to your needs

What’s on offer

Spectroscopy and Quality Control

  • I develop calibration models for agricultural product QC
  • My expertise spans visible, near- and mid-infrared, Raman, and x-ray fluorescence spectroscopy

Data-driven process management

  • I create statistical process control tools
  • My solutions include inventory management and risk management strategies

Custom application development

  • I build tailored software solutions
  • I work with your team to seamlessly integrate advanced analytical tools into your existing systems

Advanced image processing and analysis

  • Hyperspectral and multispectral image processing for remote sensing and quality control
  • X-ray tomography reconstruction, segmentation and visualisation
  • Image processing for materials science and biological research
  • Computer vision solutions for industrial inspection and robotics

Technical capabilities

As an active researcher and practitioner, I pride myself on staying at the forefront of data science, machine learning, and chemometrics. My expertise spans a wide range of techniques, from traditional methods to cutting-edge algorithms.

Advanced regression and dimensionality reduction

  • Partial Least Squares (PLS) regression with advanced variants like OPLS and O2PLS
  • Multiblock and hierarchical PLS for complex, multi-source data integration
  • Robust Principal Component Analysis (RPCA) for noisy data handling
  • Tensor decomposition methods (e.g., PARAFAC, Tucker3) for multi-way data analysis
  • Local and non-linear PCA variants for handling non-linear relationships

State-of-the-art classification and pattern recognition

  • Ensemble methods including Random Forests, Gradient Boosting Machines (e.g., XGBoost, LightGBM)
  • Support Vector Machines (SVM) with advanced kernel functions
  • Partial Least Squares Discriminant Analysis (PLS-DA) and its non-linear extensions
  • Probabilistic classification methods like Gaussian Process Classifiers

Deep learning and neural networks

  • Convolutional Neural Networks (CNNs) for regression and spectral image analysis
  • Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) for time-series spectral data
  • Autoencoders for unsupervised feature learning and anomaly detection
  • Transfer learning techniques for adapting pre-trained models to spectroscopic data
  • Attention mechanisms for interpretable deep learning in chemometrics

Some use cases

Let me share some examples of how our expertise can be applied to solve real-world challenges across various industries:

Cosmetic industry

  • AI models for personalised product formulations
  • Spectroscopy methods for rapid and non-destructive assessment of product properties

Agriculture, food and soil

  • Detecting food fraud, such as identifying adulterated olive oils or mislabeled fish species
  • Spectroscopy methods for grain and flour analysis
  • Spectroscopy and hyperspectral imaging for crop quality determination
  • Predicting soil nutrient content from spectral data

Supply chain

  • Perishable inventory management
  • Optimal reorder point determination
  • Demand forecasting
  • Dynamic categorisation of inventory
  • Anomaly detection

Research support

  • Biomedical imaging
  • X-ray imaging and tomography
  • Scripting and bespoke data analysis solutions

These use cases demonstrate how I can apply my expertise in chemometrics, statistical learning, and data visualisation to drive innovation and efficiency across a wide range of industries. I’d be happy to discuss how we can tailor our solutions to your specific challenges and goals.

Let’s transform your data strategy

I’m excited about the possibility of helping your organisation harness the power of statistical learning and chemometrics.

Free Consultation Call

I invite you to book a free 15-minute call with me. During this call, we can discuss your specific challenges and goals, and outline potential solutions. Based on our discussion, I’ll provide you with a summary of our conversation and proposed plan for moving forward.

Schedule a 15-minute call with me

or just reach out at daniel@nirpyresearch.com

I’m looking forward to learning more about your projects and discussing how NirPy Research can drive innovation and efficiency in your organisation.