Algorithms:
combinatorics,
network flows, digital signal processing,
parallel computing.
Special training:
analysis of algorithms, computer graphics,
information theory, parallel and high-performance computing, agile
object-oriented programming, design patterns, data mining, game theory,
optimization, graph theory, chaotic dynamics, probability, data compression,
adaptive and stochastic filtering, neural networks, medical imaging,
effective teaching.
Linear regression and error analysis for calibration curves and standard additions:
an Excel spreadsheet exercise for undergraduates,
with E. Smith and T. Hoim,
The Chemical Educator,
15 (2010) pp. 100–102.
(doi: 10.1333/s00897102224a).
Using multiple linear regression to analyze mixtures:
an Excel spreadsheet exercise for undergraduates,
with E. Smith and T. Hoim,
The Chemical Educator,
15 (2010) pp. 103–107.
(doi: 10.1333/s00897102225a).