1. Advice from an old grad or Everything I know about research I learned from the PhD* web-comics *Piled higher & Deeper, by Jorge Cham (www.phdcomics.com) Research Forum Dec. 18 th, 2007 Presented by Jonathan Devor (G6)

2. Lesson #1: (in no particular order) Learn from your elders… at your own risk … and this includes professors too (see lesson #8 on advisors)

3. Lesson #2 What do I need to know Should I learn Latex? yes! Should I learn C++, IDL, Mathematica…. Depends on what you need, and what is easiest for you. The higher the language the easier it is to do some stuff, but all the rest become much harder/impossible E.g. C++ can do everything, but you have to learn it. Mathematica can only do math stuff, but it does that easily. (Recommendation: Derive is like Mathematica, but easier to learn) Should I learn Fortran? only if you absolutely have to.

4. Lesson #3 Things are not always exactly the way they’re supposed to be

5. …but there is a method to the madness …but you need to figure it out for yourself

6. Lesson #4 Writing papers

8. How to Write a Scientific Paper by E. Robert Schulman Abstract We (meaning I) present observations on the scientific publishing process which (meaning that) are important and timely in that unless I have more published papers soon, I will never get another job. These observations are consistent with the theory that it is difficult to do good science, write good scientific papers, and have enough publications to get future jobs. link- Annals of Improbable Research, Vol. 2, No. 5, pg. 8. Annals of Improbable Research, Vol. 2, No. 5, pg. 8.

9. Lesson #5 Free Food How to get some- (at Harvard) Wait- it will come to you Become a non-res tutor Go to talks

10. But watch out… This will happen to you… (if you’re like me)

11. Lesson #6 WORK Entropy: It happens to all of us

12. Be organized Data directories Reduction directories Documentation Source code Database links Website links … If you manage this, tell me how.

13. Bugs- they’re part of life

14. “Research: compressing reams of data into 1-2 numbers, sometimes less.”

15. Grad student evolution

16. Lesson #7 Procrastination

17. Lesson #8 Advisors The job description of an advisor: NOT to tell you what you should do To advise you (if you’re lucky…) This is YOUR time to think for yourself (for good and bad)

18. Advisors: how to pick em’ ???? Personality Don’t overlook SAO / postdocs Personality Choosing the right advisor will probably be the most important decision you’ll need to make in grad school (no pressure…)

19. Knowing your advisor

20. But they will always be happy to provide “constructive” criticism

21. This will happen to you…

23. How much is too much?

24. Lesson #9 Teaching

25. Lesson #10 Motivation

26. And at shorter timescales…

27. Have fun with it

28. But watch out… You may find your self incomprehensible to 99% of the world’s population Evidence: see previous page…

29. Lesson #11 Research exam / thesis

30. …or not!

31. “…every thesis ever written”

32. Lesson #12 There’s life after work Classes/lectures in other topics Museums/shows/book-readings Hobbies Grad/undergrad* interest groups/clubs (visit the group booths at registration day) *Note: Undergraduate groups are generally happy to include grads as well.

33. …and yea, that too Taken from XKCD web-comics (http://xkcd.com) “Even the identity matrix doesn’t work normally”

35. Lesson #13 Getting a job It’s all about networking…

36. My greatest accomplishments HSP Wall-o-credit-cards Robots -- got me my job(?) Third time’s a charm…

37. Lesson #14 Don’t put things* off… *that is, things that you NEED to do

38. Thank you! Now go to work…