Portfolio

Selected Projects and Notebooks

Machine Learning and Data Science

Protein Structural-Class Prediction from Data-Mining

[Semi-Empirical Optimization of Atomic Configuration Energies]

SMS Spam Classification & Natural Language Processing (SVM / Python, MATLAB) (see repository)

Mielke, 2020

[Atmospheric Meteor (Bolide) Identification from Geostationary Lightning Data (neural networks/various models / Python)]

[Deep-Learning Data Classification & Multi-Class Hand-Sign Recognition in TensorFlow (various models / TensorFlow / Python)]

[Prediction of Pathrise¹ Fellowship Outcomes (various models / Python)]

Insurance Risk Classification (logistic regression / Python)

Modeling and Simulation

Sequence-Dependent Modeling & Simulation of Dynamically Superhelical DNA

[Homology Modeling & Monte-Carlo Analysis of Redox and Binding Energies in Novel Biological Photosystems]

Measurement and Analysis

[Photoacoustic Spectroscopy and Nonlinear Analysis of Photosynthetic Energy-Storage Efficiencies]

Teaching and Science Communication

Large Hadron Collider (CERN) - YouTube Edit
(Featuring Nobel Laureate, Steven Weinberg)
Steven Mielke, David George
Science & Technology Features, CNN, 2000
_{Image Credit: www.universetoday.com}