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[Under Construction]


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

[Large-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 Pathrise Fellowship1 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