You can reach me at hanisan on gmail.

Though my education is formally in Physics, I would say my greatest traits are the ability to learn any skill necessary to complete a task, and the inability to comprehend the meaning of 'impossible'. I enpossible. To date, I have learnt, dealt with, or simply meddled in the following:

Math:

• Stats
• Multivariable Calculus, Partial and Ordinary Different Equations
• Nonlinear Dynamics, Chaos
• Signal and Coding Theory
• Wave theory, and its application to Signal and Coding Theory as well as novel computational methods
• Graph theory
• Perspective transforms, tracers, collision and multi-body gravitational modelling
• Clustering, networks, graphs, and novel approaches for single-pass massively-dimensional dense cluster analysis (D > 100, N > 1E+10)
• Trending, parallel trending, and time-weighted expectation value analysis for dynamic optimization.
• Matching and scoring algorithms for both massive and small object sets, using both single and multi-interaction models.

Physics:

• Mechanics
• Thermodynamics
• Quantum Mechanics
• Statistical Mechanics
• Positioning techniques using both standard triangulation and novel experimental techniques
• Radiation Biophysics (in relation to cancer treatments in particular)
• Custom hardware design and construction

Hardware & Programming:

• Assembler, custom hardware design and construction
• Python (my favourite language so far)
• C#
• JS (In particular in conjunction with HTML5 Canvas in animation and perspective rendering of 3D objects)
• FORTRAN
• Matlab, Maple, Mathematica, Gnuplot and many other scientific programming tools (that I generally no longer use, because I can do it all in Python)
• Android (custom automation tools for load and crash testing, with device disambiguation and abstraction layers)

Databases:

• Efficient, database-specific algorithms that tailor the database engine's strengths and weaknesses to the functionality in question
• DB managed persistency and synchronization for asynchronous client-bound applications
• Custom low-level DB engine enhancements (in environments that allow this), such as a vector-specific aggregate operations and n-length bitmask overlay element selection on a table or column.
• Analytics, and in particular low-level in-DB recursive functionality with crash handling, pausing, unpausing and resuming from stopped states capabilities (e.g. cluster analysis inside the DB)

Interests & Hobbies:

• Rock Climbing
• Mountaineering
• Cycling
• Dinosaurs
• Reading, Movies, Poetry

Current Goals:

• Space elevator design
• Climb Matterhorn
• Client side Python in Chromium
• Learn telemark skiing