Graduate Courses Taken (29 Courses)

• Advanced Analytic Methods (18.305)
• Advanced Partial Differential Equations (18.306)
• Introduction to Computational Molecular Biology (18.417)
• Topics in Computational Molecular Biology (18.418)
• Differential Equations and Dynamical Systems (Math 645)
• Statistics Linear Models (Stat 705)
• Numerical Simulation Techniques (6.336)
• Numerical Methods for Partial Differential Equations (16.920)
• Statistics Linear Models 2 (Stat 706)
• Complex Analysis (Math 621)
• Time Series Analysis (Math 797)
• Real Analysis (Math 623)
• Abstract Algebra (Math 611)
• Partial Differential Equations (Math 731)
• Probability Theory (Stat 605)
• Mathematical Statistics II (Stat 608)
• Real Analysis II (Math 624)
• Topology (Math 671)
• Regression Modeling (Stat 697R)
• Reading Course in Large Deviations Principles with Prof. Ellis
• Math 732 - Partial Differential Equations Part 2

• Physics of High Energy Plasmas I (8.641)
• Quantum Theory I (8.321)
• Physics 860 - Monte Carlo Methods

• Solid State Physics (6.730)
• Knowledge Based Artificial Intelligence (6.871)

• Quantative Biology (7.81)
• Computational Genetics (7.90)
• Foundations of Computational and Systems Biology (7.91)