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HANS OTHMER ON MATHEMATICAL BIOLOGY:
IN INTERVIEW WITH PETER WEBB,
PROFESSOR OTHMER EXPRESSES SOME
THOUGHTS
Peter Webb: Hans, first of all
let me thank you very much for
agreeing to be interviewed for
the Departmental Newsletter. Before
I ask you any questions I would
like to congratulate you, because
we have heard that you have received
an award from the Alexander von
Humboldt Foundation, which is
a notable distinction and evidently
is in response to your work and
your various activities. Congratulations!
I wonder if you could just tell
me a little bit about it? It comes
with some money, which I suppose
will support work that you do
with people in Germany. Do you
have to do the work in Germany?
Will you do it in certain places?
Hans Othmer: No, not strictly.
As the director of the Max Planck
Institute where I am staying emphasized,
this is a prize, so there are
no fixed requirements, but the
purpose of it is to stimulate
in part research between people
in Germany and the rest of the
world, and so I've made a commitment
to stay there for about 6 months,
and they also gave me generous
travel funds to go back and forth
and I can invite visitors and
so forth. It's just perfect. It's
out of the blue. It's very nice!
PW: Let me ask my first question
about mathematical biology, which
is a big question. It is really
if you could give some sort of
overall snapshot of how you see
mathematical biology at the moment,
where you see the current activity.
We would have to have been blind
and deaf not to appreciate in
recent years that mathematical
biology is receiving a lot of
attention and that there is a
lot of funding coming into mathematical
biology. How do you see the overall
picture at the moment?
HO: Well, given that I've been
in the area for 30 years, I consider
that it has changed very dramatically.
When I started at Rutgers, 30
years ago last year, there were
real, real hard questions. Is
this a legitimate intellectual
exercise? a), and b) does it belong
in a mathematics department? Some
of those questions people still
ask, and that's perfectly legitimate.
But I see it as coming into a
golden age, because what has really
changed fundamentally is that
biologists have begun to realize
that they need mathematics to
understand these complex biological
systems. Thirty years ago when
a lot of the new molecular biology
techniques started in, the attitude
was: I will take the watch and
I will dissect it, put its pieces
on the table, and I will then
understand how a watch works.
Of course anybody could say that
isn't true. You will understand
how the pieces work, but you won't
understand how the watch works.
That realization has really sunk
in full-force, because the more
people understand about biology
the more they realize how complex
it is. Mathematics is the natural
language that deals with extracting
essential pieces and discarding
what isn't so essential, and analyzing
those essential pieces.
I think there are enormous possibilities
for mathematicians in mathematical
biology, just as there were 150
years ago in physics. Much of
analysis came out of people trying
to understand heat conduction,
fluid flow, gas dynamics. Everything
evolved into the field of PDEs,
functional analysis and all these
things. They all came out of very
concrete problems long ago. It's
interesting to ask, what would
have happened to mathematics had
people really started understanding
biology first, rather than physics.
How would mathematics have developed?
PW: Could you be specific about
what parts of mathematics in technical
terms have particular application
in biology. I am aware of some
things. So I think there is quite
a lot of mathematical modeling
using differential equations,
there's that kind of thing. I
understand also there's a certain
amount of combinatorics, trying
to understand DNA structure perhaps.
What areas might a mathematician
who is interested in moving in
to mathematical biology focus
on?
HO: Well, I think there are areas
of biology in which almost any
area of mathematics that I can
think of has been used. Certainly
differential equations and dynamical
systems, ordinary differential
equations, partial differential
equations, those are the bread
and butter of modeling in much
of biology. We also need to know
about stochastic processes. We
are discovering that if we talk
about gene control networks we
have to worry about individual
molecules. We can't treat things
as continua the way we think of
when we do a differential equation
model. And so stochastic processes
are going to be much more important
in the future. In understanding
languages one uses a lot of algebraic
structures. Maybe DNA strings
are a kind of a formal language.
PW: I have the impression that
there is more emphasis on continuous
phenomena than discrete. For instance,
I do representations of groups,
often-finite groups, and I am
not aware that that particularly
has application in mathematical
biology.
HO: Well it actually has had some,
in the form of symmetry groups.
So there are huge issues about
pattern formation. If you look
at any issue of Nature you see
people are trying to understand
how the spatial structure of things
evolves. To summarize it, how
do you read out the information
of the genome at the correct point
in space at the correct time,
so as to build an organism like
me? And so, finite groups and
group theory and group representations
and so forth have been used in
analyzing symmetry and symmetry
breaking, pattern formation and
so forth. In the area of bifurcation
theory, one subarea is symmetric
bifurcations. The point is that
one should never say that a particular
area of mathematics is never going
to be useful. Wait! Somebody will
find a use.
PW: How do you view the mathematics
department here, at the University
of Minnesota, in terms of mathematical
biology, the people who are here
at the moment, what courses we
have, and the gap that probably
exists between what there currently
is and what you might hope for
in the future?
HO: Yes, OK. Let me start answering
that by backing up one step and
emphasizing that mathematical
biology is still a very interdisciplinary
subject, and that's because we're
not at the stage people are in
fluid mechanics, for example,
where the Navier-Stokes equation
is very well-established. You
don't have to justify working
on Navier-Stokes to people doing
fluids. There are well-established
questions everybody agrees are
very important, so you go off
and look at them. In biology it's
different, so people really have
to learn some of the biology as
well as the mathematics. You don't
just go to someone and say, 'Give
me an equation of a type I am
very familiar with and let me
work on it.' because that will
frequently lead to nonsense. So
it's an extremely interdisciplinary
subject. As to how that plays
out, it means for the students
that they have to learn things
in addition to various mathematical
techniques. My students will take
courses on differential equations,
dynamical systems, PDE's numerical
analysis, stochastic process,
and then perhaps a biology course
or two so that they have some
grounding at least in the biological
aspects of the problems that they
are trying to understand.
As you know last year we hired
someone in neuroscience, so now
I would say roughly speaking the
two areas which are represented
here are pattern formation, developmental
biology, physiology type of problems
including gene control, all the
complex networks issues; and then
Duane Nykamp does theoretical
neuroscience, which is a huge
area in itself, and which I would
hope more mathematicians would
get interested in thinking about,
because it is the canonical example
of what mathematicians do very
well, i.e. thinking about abstract
ways to understand things. That's
needed there, but it has to be
grounded in some understanding
of what the basic physiology of
the brain is. You can't just think
of it as an abstract machine,
although the abstraction could
help enormously.
PW: Do you think the courses that
are available currently are well
set-up to allow somebody who is
a mathematician to obtain a knowledge
of the biology that he or she
needs?
HO: Well I give some courses the
intent of which is to accomplish
that in part, but let me also
emphasize that it's an awful lot
easier learning the biology as
a mathematician, than it is learning
the mathematics as a biologist.
So we have an enormous advantage.
I've never taken a biology course,
I've learned it all by reading.
I send my students to some courses
so that they get a more formal
introduction to it, but if one
is sufficiently dedicated, you
can read it and learn it, and
by talking to people in the area
understand it. So it's an asymmetric
situation, and I would emphasize
that people learn the mathematics
first, and well, because they
can learn the biology later.
One thing I find interesting here,
and which surprised me when I
came here is the latent need that
exists on campus for people to
have someone with more mathematical
training to talk to. I could collaborate
with 15 people at any given time,
simply because there is so much
interest in having mathematicians
who know enough of the background
to be able to converse, but can
also do the mathematics. That's
why people from other departments
come here. And so, you know, many
of our colleagues could probably
do similar things.
PW: Do you think you need more
people in your area in the department?
HO: I think so. I think in a department
of this size, given the demand
in terms of training Ph.D.s, given
the possibilities for enhancing
mathematics through interactions
with other departments, I think
it's an easy thing to justify.
PW: It's a difficult thing to
run a program when you have one
or two people and you are trying
to do everything yourself.
HO: Well, believe me, the first
four years here were very tough.
I was doing a new graduate course
every year, and now we're beginning
to have a program, so people can
see an intellectual path that
will take them through courses
and into the research, and that's
good. I would also say that people
have to realize that mathematics
is by and large a service organization
within the university. That's
the reality. If we were only teaching
our own progeny, there would be
far fewer of us. That is the reality.
And so, having people who understand
some of the issues that people
outside of the department are
facing when they want to use mathematics,
I think, is again healthy for
mathematics. We can serve as a
kind of bridge to people outside,
and they can say, 'Yes, there's
somebody who has some inkling
of what we do when we struggle
in trying to apply mathematics,
and why our students struggle
with the way mathematics is taught.'
It all comes together. I think
what we have to do is build on
this and see that biology does
as much for mathematics as mathematics
can do for biology, because then
both sides win, and that's the
most interesting outcome.
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