Are you a prospective PhD/fellow/postdoc looking for the right mentor?
A thread on how to approach the process.
Long story short, two steps: 1) Define your "must-have" priorities. 2) Find evidence (reputation & track record) that a potential mentor will help you achieve those.
Step 1. Define your "must-have" priorities.
There are many things you can accomplish in a 2-4 year program. No mentor will be excellent in helping mentees achieve all of these. List out your "must-haves": things that you will be disappointed if you don't have/accomplish.
13 things a mentor can provide (non-exhaustive):
- Role model
- High-impact publications
- Work-life balance
- Technical skills
- Networking/introductions
- Support for future job
- Personality fit
- Freedom to choose projects
- Strong team
- Time
- Name recognition
- Funding
Decide on the 3-5 items that are your "must-haves".
It's OK if things like publications and name recognition are important to you at this time in your career. Also OK if they aren't.
The key is to be true to you. This is an important step in discovering your professional self.
Step 2. Find evidence that a mentor will help you achieve your "must-have" goals.
Don't rely on what a potential mentor says in an interview. Bad mentors can interview well, and good mentors can interview poorly.
The best evidence is: (a) track record and (b) reputation.
Is "role model" a must-have? (It should be.)
Ask your current advisor for the potential mentor's reputation.
Ask other members of their team what it's like to work with them.
Then ask yourself if that's the kind of person you want to have an indelible influence on your career.
Publications?
Don't just look to see if a mentor publishes a lot of papers.
Ask others in the field if those papers are well-regarded.
Most importantly, look to see if other trainees are publishing high-level papers as first author or just getting scraps.
Work-life balance?
Ask other members of the potential mentor's team if the mentor is a good role model in this regard.
But more importantly, if they feel they are supported in their own work-life balance vs feeling subtle pressure to always work harder.
Technical skills?
Choose the skills that are most important to you, then ask others on the team if the mentor is a good person to learn those skills from.
Some mentors can be very engaged in a field but not good teachers of a craft.
And don't forget writing as a skill!
Networking? Ask others on the team if the mentor has created linkages for them vs making them reach out on their own.
Job support? Ask for a *complete* listing of the last 5-10 trainees at your level and the jobs they took after leaving.
Personality fit? Ask current trainees to describe what the mentor is like to work with. Especially when things get busy or deadlines get close. Will their style work for you?
Freedom to choose projects? Same thing - ask current team members if they were given that freedom.
Strong team? A good potential mentor will introduce you widely to their team, so you can judge for yourself how they work together.
Time? Ask the potential mentor how much time they typically devote to trainees. Then ask team members to confirm they actually get that much.
Name recognition? Ask your current advisor (and others) if they would think highly of someone who trained under the potential mentor.
Funding? Ask other faculty at the new mentor's institution if the mentor is well funded - and what the "going rate" for financial support is.
In summary:
First, figure out what is most important to you in the next phase of your career. Think broadly!
Then, ask others who will be honest w you (& review recent track record) for evidence that a mentor will help you achieve your goals.
Good luck with the process!!
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One term I worry that we (as a public health community) have mis-messaged during the pandemic:
"herd immunity threshold"
A non-technical thread on why this is not "% of the population that needs to be vaccinated for us to return to life as normal while eradicating COVID-19"...
Disclaimer to the experts: This is for a non-expert audience.
Let's start with the virus that's currently circulating, and estimate roughly that - with no vaccine, no immunity, and "life as normal" - this person would infect ~5 other people before recovering (or dying).
Next, let's take a situation similar to the USA. Out of these 5 possible people infected, 2 might be vaccinated; 1 out of the remaining 3 might be someone who's already have had COVID; and 1 of the remaining 2 might be prevented by current behaviors (masks, distancing, etc).
The B117 variant is now the dominant strain of SARS-CoV-2 in the UK, Ireland, Israel, Denmark. Likely also Portugal, Belgium, France, Italy, Norway.
Yet for the most part, these are not the countries where COVID-10 cases are rising (see below). What gives?
One explanation is that B117's transmission is being offset by restrictions, population immunity, etc. And that those countries w high B117 (UK, Ireland, Portugal) have locked down most. There is likely some truth to this - but not too much correlation w stringency index (below).
But it's also worth considering B117 and non-B117 COVID as separate epidemics. For example, look at Danish data below - it's tempting to think of B117 (red) as "replacing" non-B117 (grey). But that's not what's actually happening...
In the past week, COVID cases have fallen in the majority of countries across the globe (see below for weekly change). But not all countries are locked down.
A thread on what might be - and what probably isn't - happening.
1. Lockdowns/restrictions have almost certainly had a major effect in countries that instituted them. Look at the peaked curves in the UK and South Africa - natural processes are generally smoother. But it's notable that current declines are even sharper than w the 1st lockdowns.
2. If this were just due to seasonality, one might expect similar behavior as with flu. But historically, flu rates in the US generally do not start to fall until March (see non-red lines below). Seasons likely contributed to the Oct rise, but likely not the Jan decline.
Many are interpreting data from Denmark as strong evidence of increased transmissibility of B117.
With the caveat that I believe this prevailing hypothesis to be credible, if not likely...
A thread on how Danish data can be explained w/o invoking increase in transmissibility.
First, Denmark should be applauded for their rigorous genomic surveillance. Other countries should follow their example!
The data, in brief, show an increase in the percentage of sequenced cases that are B117, from 0.2% in early December to (prelim) 12% in mid-Jan.
This was, however, occurring in the context of a dramatic fall in cases throughout the country, likely reflecting the effects of a country-wide lockdown.
A counterpoint to the alarm bells that are sounding over novel SARS-CoV-2 variants.
Is it possible that we are misinterpreting differences in human behavior as differences in the biological fitness of viral variants?
A thread to explain this hypothesis...
1. Infectious disease transmission is heterogeneous (overdispersed), largely due to human behavior.
Large "superspreading events", differences in behavior, and/or people who have many contacts generate an outsized number of transmission events.
2. This makes it easy for viral variants - even those with no inherent transmission advantage - to take over a population.
Imagine an infected person attending a large indoor gathering with hundreds of people. That viral strain will expand - because of behavior, not biology.