A lot of people where I come from view diversity as a political thing. Some people think that having recruiting or retention preferences don't contribute to anything but some abstract social ideal. I've seen several things firsthand that counter that idea, but wanted to share one experience that specifically involves math (because its "objective"). I… Continue reading Diversity is good for science: Math and the status quo

## Jae Kyoung Kim – Analysis of dynamic data: from molecule to behavior – Mathematical and Computational Methods in Biology Workshop

MBI's online workshop on Mathematical and Computational Methods in Biology will be running all week! See the schedule here (https://mbi.osu.edu/events/mathematical-and-computational-methods-biology). It is also being live streamed here: https://video.mbi.ohio-state.edu/live. Dr. Kim likens simplification of complex biological networks to Picasso's progressive reductionism of a bull. I really enjoyed this talk by Dr Jae Kyoung Kim of KAIST.… Continue reading Jae Kyoung Kim – Analysis of dynamic data: from molecule to behavior – Mathematical and Computational Methods in Biology Workshop

## Map of mathematics: applications to biology and beyond

The stereotype of math is of a white-haired professor writing equations on a blackboard. Usually the professor doesn't care about real life or applications. But math is a really broad field. Made by Dominic Walliman. You can purchase here, and download different dimensions here. In the above map, different theoretical or 'pure' concepts have their… Continue reading Map of mathematics: applications to biology and beyond

## Tutorial: Six 3D Surface and Contour Plots in Matlab

Six example 3D surface and contour plots using @MATLAB

## Four Tips on Dealing with Rejection

Awhile back I wrote about how I obsessively applied to every opportunity that I was even remotely eligible for and tracked my success and failures over the years. I know that part of the problem with applying for things comes from a disbelief that you could actually be selected for something. That might come from… Continue reading Four Tips on Dealing with Rejection

## Bayesian statistics part 4 – R tutorial

It's been quite a while since I updated this tutorial series- better late than never? Introduction First, we determine the distribution our data comes from, or the likelihood, and any prior information is described using the prior distribution. Then we use Markov chain Monte Carlo to explore this posterior. Then we determine if we need… Continue reading Bayesian statistics part 4 – R tutorial

## Application Statistics: PhD Student to Postdoc

In 2017 I was halfway through my PhD and frustrated with the opportunities available to me at my home institution. Conferences were rarely held even far away, and no travel funding. I thought even if I did apply, I would probably get rejected anyway. Apparently that mentality is common in women. So I started applying… Continue reading Application Statistics: PhD Student to Postdoc

## Preparing for grad school

You'll always worry about being smart enough, clever enough, reading and writing enough. You can always do remedial classes (I did and wow is it easier than when I was a freshman). Here's some things that might help you prepare for the hard parts of grad school. Therapist Absolutely necessary. Have you seen the data… Continue reading Preparing for grad school

## Workshop on Computational Plant Biology at PB2020 & Opportunities for Participants

Last year I held a workshop on collaboration in computational plant biology at pb2019. We went through a few examples of how computational biology is used in a variety of situations, discussed challenges in collaboration and communication. Participants were matched with potential collaborators at the end of the workshop. I received a lot of feedback… Continue reading Workshop on Computational Plant Biology at PB2020 & Opportunities for Participants

## Sartre’s PhD student

Let us consider this waiter in the cafe. His movement is quick and forward, a little too precise, a little too rapid. He comes toward the patrons with a step a little too quick. He bends forward a little too eagerly; his voice, his eyes express an interest a little too solicitous for the order… Continue reading Sartre’s PhD student