Message from the Chair
Computational analysis and modeling of experimental data – even if it is not big data – is the backbone of nearly every modern study in the life sciences. Regardless of whether you apply existing methods, create new code, or develop a new mathematical formalism to probe your data, to interpret the outcomes of computational analyses you must understand at least the assumptions and limitations and sometimes also the algorithm underlying the employed methods.
The Computational Biology Track curriculum is designed to provide you with an interim forum to learn some key aspects of computational methods in formal didactic courses and informally interact with peers and faculty who push the boundaries in development and/or use of computational approaches in a very broad range of life sciences.
The central events in our curriculum take place every Monday at 11 a.m. in ND11.218, when students of the track present their ongoing research in between seminars by established experts in computational and systems biology. After each presentation/seminar we host a luncheon to promote networking within the rapidly growing community. We look forward to your participation.