Angel Zhou – Marin Science Seminar

March 31, 2015

Interview with Dr. Katie Ferris of UC Berkeley

by Angel Zhou, Branson School

Monkey Flower

Monkey flowers and mice – two radically different things. Yet, biologists, like Dr. Katie Ferris, are studying how native monkey flowers and mice have adapted to drastically different environments.

Dr. Ferris currently works with Dr. Michael Nachman at UC Berkeley, using genetic sequencing and samples of monkey flowers and mice to show how organisms are often adapted to their local environment and that these adaptations are genetically based.

To learn more about Dr. Ferris and her work with Monkey flowers and mice, read the following interview:

1) How did you decide to enter your field of work?

I decided to become a biologist pretty early on in life. When I was little I loved being outside and interacting with the natural world, especially with plants. Because of my attraction to plants I often got in trouble for picking flowers in my mother’s garden. When I was three years old I picked off every single bright green new hosta lily shoot that popped out of the earth. My mother was furious that I had laid waste to her hostas. After she calmed down a little she told me that when I grew up I should be a botanist because then I could pick any plant that I wanted without getting in trouble. The notion stuck and I pursued biology throughout high school and into college. In college I got a job in a lab that studied plant evolutionary genetics and learned a lot of new and exciting things through doing my own research. That experience is how I became interested in my current field of the genetics of adaptation in wild organisms.

2) Describe your typical day at work as a geneticist. What are the best parts of your job? What are the worst parts?

My typical day at work involves several different kinds of activities, which is something I like. Typically I will attend a scientific talk on something related to my interests, do hands-on work with mice (or monkey flowers in my former job), spend an hour or two doing molecular biology in a wet lab and of course spend a little time working on my computer analyzing data or reading scientific papers. The work with animals and in the wet lab usually involved working with undergraduate students who volunteer in the lab in order to participate in research. Some of the best parts of my job are getting to work with students and trying to spread my love of biology and scientific research. I also enjoy the precious and satisfaction of laboratory work and the personalities of the mice. The worst part of my job is when I have to spend a lot of time dissecting dead mice. I did not go into medicine for a reason 🙂

3) How did you decide to study monkey flowers and wild mice specifically? What conclusions have you drawn thus far in your research?

I decided to study monkey flowers when I was interviewing for graduate school. I visited a lot of different labs that studied plants, but the monkey flowers were by far the most captivating. They are bright yellow, happy little things and closely related species live in an incredible range of different environments from old copper mine tailings to salty coastal sand dunes. They are just really cool plants. I became interested in wild mice because of the work my post-doc advisor had done on the genetics of mouse coloration. He found the genetic changes that caused light colored desert mice to become dark when they lived on black rock outcrops. The mice that live on the dark rocks can then blend in to their surroundings and are less likely to be eaten by predators. I like making hypotheses more than drawing conclusions, but I would say that the main conclusion I have drawn from my research so far is that organisms are often adapted to their local environment and that these adaptations are genetically based. I have also concluded that biology is very complicated

4) What is your ultimate goal in studying the genetics of adaption and speciation?

My ultimate goal in studying the genetics of adaptation and speciation is to understand better how the world around us works. I want to understand which genes are involved in important traits and if the same genes are used repeatedly to evolve the same traits in different organisms. In short, I want to know if the genetic basis of adaptation is predictable in any way. I also just generally want to contribute new knowledge to the scientific community. A better understanding of the genetic basis of ecologically important traits like drought tolerance or coat color can also be used by scientists in applied field to help improve agriculture or medicine.

Dr. Katie Ferris, UC Berkley

To learn more about the genes and species’ adaptation to extreme environments, join us on Wednesday, April 1st for Dr. Katie Ferris’ seminar, “From Monkey Flowers to Wild Mice: A Tale of Genes, Adaptation and Extreme Environments” in Room 207 at Terra Linda High School in San Rafael. For more information, visit Marin Science Seminar’s Facebook page: https://www.facebook.com/events/850586588342167/

March 16, 2015

Interview with Steve Croft, Ph. D. on Black Holes

By Angel Zhou, Branson School

Black holes. Don’t let the name fool you: a black hole is anything but empty space. Rather, it is a great amount of matter packed into a very small area. Scientists can’t directly observe black holes with telescopes that detect x-rays, light, or other forms of electromagnetic radiation. They can, however, infer the presence of black holes and study them by detecting their effect on other matter nearby.

Steve Croft, an astronomer at the University of California, Berkeley, uses a new radio telescope, the Allen Telescope Array to study. He grew up in England, where he received a PhD in astrophysics from Oxford University in 2002, before moving to California to work as a postdoctoral researcher at the Lawrence Livermore National Laboratory.

Read the following interview to learn more about Dr. Croft’s life and work as an astronomer.

Steve Croft, Ph. D.

1) How did you decide to enter your field of work?

I’ve always been fascinated to understand how things work. We’re all born scientists and explorers at some level. Even as babies we learn about the world around us by trying things out, taking things apart, and performing experiments. I got particularly interested in space when a neighbor bought me a book about astronomy when I was probably about eight years old. My parents bought me a small telescope at about twelve that I used to look at craters on the Moon and the rings of Saturn. I continued to read astronomy books and watch astronomy TV shows, as well as being fortunate to learn math and science from some great school teachers.

I chose to study astrophysics for my undergraduate degree at University College London in the UK, and particularly enjoyed hands on experience with large telescopes at the University of London Observatory. That really confirmed for me that I wanted to be an observational astronomer, so I ended up doing a PhD at Oxford University, using some of the world’s largest telescopes to study the growth and environments of supermassive black holes. I moved to California in 2002 and worked at the Lawrence Livermore National Lab for 5 years where I was a member of a small astronomy research group. I got to use the Keck Telescopes in Hawaii – the largest optical telescopes in the world – as well as the Hubble Space Telescope and many others. I’ve been at Berkeley since 2007, and I’m currently working on one of the most cutting edge radio telescopes in the world as part of a big international team.

2) Describe your typical day at work as an astronomer. What are your favorite and least favorite parts of your job?

I travel a lot for work. I just got back from a month in Australia. I spent most of the time there working with colleagues at the University of Sydney, but I also traveled to Melbourne for a couple of days to give talks, as well as out to the site of the telescope I’m working on, in the remote Australian outback. Last year I traveled to South Africa and Italy for conferences, as well as several trips within the US for meetings. The travel is one of my favorite parts of the job. Meeting new people and exploring new ideas, as well as seeing new places, are important to me.

When I am in the Bay Area I go into the office most days, although sometimes I work from home or have meetings offsite. I work in a regular office which I share with another astronomer. Most of my work is done using an iMac computer with two big screens, but I log in remotely to more powerful computers (including one with 256 GB of RAM and many TB of storage) to analyze the data from the telescopes I’m using. More often than not I’ll have a meeting or two, or attend a seminar. Sometimes I’ll have informal discussions with colleagues over lunch. I read papers written by other astronomers to keep up on research in my field. I also do a lot of education and outreach programs, including working with high schoolers. Last year we launched two high altitude weather balloons with GoPro cameras attached to the edge of space. That was really exciting.

I guess my least favorite part of the job is that I always have so much going on, including a ton of emails waiting for me to respond to. It’s great to be in a job that’s stimulating but sometimes I feel like I will never get to the bottom of my to-do list.

4) What are black holes and why do they play an important role in the universe?

There are two main varieties of black holes. One kind is about the same mass as our Sun. These result from the violent deaths of massive stars. There are probably millions of these in our Galaxy. The other kind, the ones that I research, are supermassive black holes that can be millions or billions of times as massive as the Sun. These monsters lurk at the centers of galaxies, typically only around one per galaxy, and we’re starting to understand that the way they get to be so big has a profound influence on the galaxies themselves. The forces that they produce are so incredibly powerful that they can rip stars apart and send out blast waves that shape the gas and stars that make up the galaxies in which they live.

5) What aspect of black holes are you particularly fascinated by and why?

One thing that I’d like to understand better is why some black holes lurk around not doing very much, sometimes for billions of years, and then switch to violent phases of growth. Understanding how they launch jets of material moving at close to the speed of light, and how collisions of black holes disturb spacetime itself, are areas of active research that I hope we’ll get closer to understanding with the new generation of telescopes that we’re building.

Join us on Wednesday, March 11th for Steve Croft’s seminar, “Snacking, Gorging, and Cannibalizing: The Feeding Habits of Black Holes“ of UC Berkley in Room 207 at Terra Linda High School in San Rafael. For more information, visit Marin Science Seminar’s Facebook page: https://www.facebook.com/events/1540138222921928/.

February 24, 2015

Why Do We Age?

By Angel Zhou, Branson School

Why do we age? It might seem like a silly question, but scientists have asked it in hopes that they might one day counteract the process.

Never before have so many people lived for so long. Life expectancy has nearly doubled over the last century, and today there are 36.8 million Americans age 65 and older. Longer life has obvious appeal, but it entails personal hardships and financial burdens. In addition to personal hardship, there is also a cost to society. The financial burden of treating the chronic diseases of aging is expected to rise steadily as Baby Boomers get older. Politics may come to be dominated by the old, who might vote themselves ever more generous benefits for which the young must pay. If longer life expectancy simply leads to more years in which pensioners are disabled and demand expensive services, health-care costs may balloon as never before, while other social needs go unmet.

Since 1999, scientists have studied ways to make organisms live much longer, and with better health than they naturally would. Previous research assumed that chronic diseases arise and should be treated individually. What if, instead, aging is the root cause of many chronic diseases, and aging can be slowed?

The Buck Institute for Research on Aging (http://www.buckinstitute.org) is the nation’s first independent research facility focused solely on understanding the connection between aging and chronic disease. At the Buck Institute, world-class scientists work in a uniquely collaborative environment to understand how normal aging contributes to the development of conditions specifically associated with getting older such as Alzheimer’s and Parkinson’s diseases and cancer. Their interdisciplinary approach brings scientists from disparate fields together to develop diagnostic tests and treatments to prevent or delay these maladies and to ultimately increase the healthy years of life.

The aging of our population — in past decades and in the foreseeable future — presents both a challenge and an opportunity for all of us as we seek to stay healthy throughout our longer lives. If medical interventions to slow aging result in added years of reasonable fitness, life might extend in a sanguine manner, with most men and women living longer in good vigor, and also working longer, keeping pension and health-care subsidies under control. Indeed, the most exciting work being done in longevity science concerns making the later years vibrant, as opposed to simply adding time at the end.

In his Marin Science Seminar, Dr. Lithgow (http://buckinstitute.org/lithgowLab) of the Buck Institute will discuss the mechanisms of aging by identifying agents that extend lifespan or prevent age-related disease and solutions to eventually eradicate the chronic diseases of late life.

Join us this Wednesday, February 25 for this week’s Marin Science Seminar “Do We Have to Grow Old? The New Science of Aging “ with Gordon Lithgow, Ph.D. of the Buck Institute in Room 207 at Terra Linda High School in San Rafael. For more information, visit Marin Science Seminar’s Facebook page: https://www.facebook.com/events/870825009620005/.

February 11, 2015

Interview with Art Wallace, MD PhD on Big Data and Medical Innovation

By Angel Zhou, Branson School

Mobile technologies, sensors, genome sequencing, and advances in analytic software now make it possible to capture vast amounts of information that could transform medicine. The question is: can Big Data make health care better?

In the upcoming Marin Science Seminar, “Big Data and Medical Innovation,” Dr. Art Wallace, Chief of Anesthesia Service at the San Francisco VA Medical Center and a Professor of Anesthesiology and Perioperative Care at UCSF Medical Center, will discuss applications of Big Data in medicine and how Big Data has changed epidemiology, quality improvement, and drug discovery. Read the following interview to learn more about Dr.

Wallace’s thoughts on Big Data and its impact on medical innovation.

Art Wallace, MD PhD

What is Big Data and what is its significance to medicine? What makes Big Data different from other data that people work with in the healthcare industry?

Big Data is data that is acquired for other purposes that can be analyzed to understand processes, people, and systems. Big Data includes many things: cell phone records, super market purchase card records, credit card records, medical records, internet search terms, medication usage, hospital admissions, social security records, etc. This data can be used for epidemiology to identify associations between factors and outcomes.

Big Data gives additional power to identify factors associated with rare outcomes. I can now easily do a study in 1 million people using data collected for administrative purposes. Doing a study in 1 million patients used to be enormously expensive, now it just requires computer programming and epidemiologic analysis. Before Big Data, the cost of collecting data was prohibitive, so many studies could not be done. With Big Data, there is little to no cost of collecting the data, making the analysis the entire cost for large studies. The profoundly lower costs with Big Data techniques make studies that were previously impossible, possible at minimal cost.

How does Big Data impact professionals in the medical field? Can Big Data be used to improve healthcare?

We have identified factors associated with adverse outcomes, identified medication practices that are associated with increased mortality, identified medications that can reduce morbidity and mortality, and we have identified possible therapies for diseases that have no current therapy. We can reduce morbidity, mortality, cost, and assist in the development of new therapies.

Big Data can be used to reduce morbidity, mortality, cost, and improve efficiency. Big Data can be used to ask questions that are morally, politically, technically, socially, ethically, or legally impossible to answer with randomized trials. Big Data is being used to improve quality of life while lowering costs.

Describe how Big Data is reshaping the drug industry?

Big Data can be used to identify medications that reduce or increase risks. Post marketing testing can identify medications that have significant associated morbidity and mortality. For example, we identified a drug that increased mortality risk 5 fold (increased from 3 to 15% with drug use). This use of Big Data led to a medication being taken off the market. It had been used in Europe for 30 years, in the U.S. for 10 years, and it increased the risk of death from 3 to 15%. Big Data was used to identify a very serious risk to patients and led to the medication being taken off the market.

How will Big Data accelerate innovation in medicine?

Big Data will be used to identify new uses of medications. It will identify risk factors for morbidity and mortality. It will lead to further randomized trials.

What are the benefits and dangers of providing Big Data online as the “ever expanding cloud of information” becomes more accessible?

It is easy to identify people from their digital detritus. It is easy to identify very personal things about people from their data trails. Factors such as financial status, interests, sexual orientation, political beliefs, religious beliefs, health status, pre-existing medical conditions, drug and alcohol use, pregnancy status, and proclivities can all be assessed via Big Data. Big Data can be used to manipulate, track, and market to people. At the same time, Big Data can identify very serious risks to patients’ health. Scientific method is an approach; Big Data is a tool. Both can be used for good or bad purposes. Big Data is simply a new and extremely powerful scientific tool.

Join us Wednesday, February 11th, 2015 to learn more about “Big Data and Medical Innovation” with Dr. Art Wallace from 7:30 – 8:30 PM Terra Linda High School, San Rafael in Room 207.