EFTA00589683.pdf
PDF Source (No Download)
Extracted Text (OCR)
Financier, Jeffrey Epstein, Accelerates the Course of Evolution at Harvard
Evolution is always on the move but nowhere has it been more in flux than at Harvard
University. Indeed ten years ago, an Austrian biologist and mathematician called Martin Nowak,
at the Advanced Institute for Studies at Princeton, met with an unknown New York financier
called Jeffrey Epstein, to discuss the evolution of language. Epstein was by then an established
philanthropist in the sciences. But what emerged was far more pragmatic than the first
evolutionary theory of irregular verbs. What emerged was an entire department at Harvard, under
Nowak's direction, to study the evolution of human diseases with the primary use of
mathematics.
The department, called the Program for Evolutionary Dynamics or PED, was no ordinary
department. Epstein established it in August 2003, with an unprecedented $30 million dollar gift
to the university. It quickly became one of the first of its kind to study the mathematical
evolution of micro biology, notably cancer, infectious diseases and viruses such as HIV—in
view of advancing their treatment.
And by creating the first mathematical models of how human cancer cells, viruses and bacteria
evolve, Nowak and his graduate team have been able to identify groundbreaking aspects about
these diseases and steps to treat them more effectively.
The somewhat calculated meeting between the two men first occurred in March of 2000 when
Epstein, with a passion for cutting-edge science, flew Nowak to his island in the US Virgin
Islands to host a conference on the evolution of language. It was an obscure topic, but Epstein,
familiar with Nowak's HIV work at Princeton, wanted to get to know the scientist intimately and
if that involved furthering Nowak's current research on language, so be it.
At that time, Nowak was head of the Program in Theoretical Biology at the Institute for
Advanced Study at Princeton and had already published a substantial amount of work on the
mathematics of the HIV virus, infectious bacteria, and cancer cells. Before going to Princeton,
Nowak had been the head of the mathematical-biology group at Oxford University. His
motivation for research differed from Epstein's. While they were both enraptured with
unraveling the big questions about existence, Nowak is a practicing Roman Catholic and a
declared humanist with a desire to serve society. Epstein on the other hand, is first and foremost
EFTA00589683
a problem solver, interested in strategy and intellectual puzzles. He is equally devoted to physics,
artificial intelligence, and the human brain. According to Nowak, Epstein was fascinated with his
game theory of win-stay, lose-shift and eager to see how it could be applied to the markets. That
is not to say that Epstein had no interest in purely humanistic endeavors. He has given to
countless organizations to further early and primary education, notably in the U.S. Virgin
Islands, where his foundation is based. But his essence is in uncovering the big questions, a
possible but perhaps insatiable desire.
Epstein was not amateur philanthropist or science groupee. By 2003, he had supported the
research of many prominent scientists, including Stephen Hawking, Marvin Minsky, Eric
Lander, George Church, and Nobel laureate physicists Gerard 't Hooft, David Gross, and Frank
Wilczek. According to New York Magazine, he is one of the largest donors to individual
scientists around the world, granting up to $200 million a year. He was also a member of the
New York Academy of Science, a member of Rockefeller University's board, and actively
involved in the Santa Fe Institute, the Quantum Gravity Program at the University of
Pennsylvania, and the Mind, Brain & Behavior Advisory Committee at Harvard. Epstein himself
had studied physics at the Cooper Union in New York and mathematics at the Courant Institute
in New York and moved on to teaching calculus and physics at the Dalton School in Manhattan.
Within a couple of years, he was quickly recruited into options trading on Wall Street and
applied his mathematical wit to the markets, focusing on the then popular Black Scholes model.
But Epstein's heart remained in the pure sciences. He was fascinated by fundamental questions
on the one hand, and as a fervent businessman, eager to apply scientific theory to the real world.
It was this combination that drew him to Nowak. For Nowak's work embodied both large
theoretical concepts about evolution and also focused on the treatment of disease with the use of
evolutionary mathematics. Epstein could not only probe a brilliant mind about the origins of life,
but, with his connections at Harvard, was able to provide Nowak a powerful platform to put his
pioneering medical research into immediate practice.
So in August 2003, with the cooperation of Lawrence Summers, then president of Harvard, the
Program for Evolutionary Dynamics (PED) set up for business under the direction of Nowak,
who was made a professor of mathematics and biology at Harvard.
EFTA00589684
PED's math models soon led to key discoveries towards combatting diseases of all kinds. In
2012, Nowak and two postdoctoral students, Benjamin Allen and Ivana Bozic, developed the
first mathematical model of how human colon-cancer cells evolve and how they become immune
to inhibitor-drug therapy. Their research was conducted at the request of the Pathology and
Oncology Department at Johns Hopkins University. The department was trying to understand
how the KRAS gene in colon-cancer cells becomes activated after inhibitor-drug therapy,
making the cells resistant to treatment.
By developing a mathematical model of the growth of colon-cancer cells, Nowak and his team
showed that the KRAS gene is not actually activated or "switched on" by inhibitor therapy;
rather, a small percentage of colon-cancer cells with an already activated KRAS gene are
immune from the start and come to dominate as the other cancer cells are destroyed by the
inhibitor drug. The discovery was critical in changing the approach to inhibitor-drug therapy.
Instead of applying drugs in sequence to fight secondary and tertiary resistance, the researchers
at Johns Hopkins are now exploring the effects of using a cocktail of inhibitor drugs to capture
all colon-cancer cell types: those with the activated KRAS gene and those without. The same
tailored approach is underway for other cancers.
In 2010, Ivana Bozic and Martin Nowak co-authored a mathematical study that showed that most
solid tumors contain 40 to 100 genetic mutations, but that on average only 5 to 15 of those
actually drive tumor growth. The findings were essential to the researchers at Johns Hopkins and
elsewhere because they demonstrated the importance of isolating a key minority of mutated
tumor cells for effective inhibitor treatment.
"Mathematics in medical research reveals patterns that are otherwise hidden," remarked Epstein,
who maintains a frequent presence at PED. "It's exhilarating when a mathematician can
determine molecular and cellular behavior with the precision of an engineer and share those
findings with physicians."
In that same year 2010, the PED presented to Bert Vogelstein, professor and director of the
Ludwig Center for Cancer Genetics and Therapeutics at the Johns Hopkins Kimmel Cancer
Center and the Howard Hughes Medical Institute, a mathematical model showing the genetic
evolution of pancreatic-cancer cells from initial mutation to non-primary malignant cells. What
Nowak's team had found was surprising: that pancreatic cancer, one of the most lethal forms of
EFTA00589685
cancer, is not fast and furious as believed, but slow to develop. In fact, given the amount and
type of genetic disparity between the cellular stages, it appears that it takes about ten years for an
initiating mutation to grow to a parental, non-metastatic founder cell and another six years for
cells to become malignant.
The findings highlighted the importance and real possibility of isolating pancreatic mutations
prior to metastasis. Johns Hopkins scientists are now focusing on developing a pancreatic cancer
screening method similar to the protocol used for breast and colon cancers. Though early stages
of pancreatic cancer cause no known symptoms, the John Hopkins team is looking into
pancreatic screening endoscopies for patients of a certain age.
Over the last two years, Nowak and his team have also collaborated with the Johns Hopkins to
develop a database to map and predict the effect of drugs on the HIV virus. Like cancer cells,
HIV often develops resistance to drug cocktails. This is a major problem for patients and the trial
and error of clinical trials can be hugely debilitating. Using data collected from thousands of
blood tests on more than 20 anti-HIV drugs, the model calculates each drug's ability to suppress
viral replication and avoid resistant HIV strains. The model also factors in different drug
combinations and dosages, and information about the patient such as blood type, age, and sex to
arrive at the most precisely engineered predictor of results for future patients.
Much has been written about the Program for Evolutionary Dynamics and Nowak's work.
Nowak is also the honored recipient of numerous awards, a frequent guest lecturer and the author
of several books. And while Jeffrey Epstein remains an obscure figure, tarnished now by a series
of scandals involving underage women, one of which led to an 18-month jail sentence, he is
nonetheless the talented catalyst, the accelerator of all this medical discovery. Whatever his
ignominy, Epstein's continued bond with Nowak and PED emphasizes that nature is neither
fastidious nor judgmental, nor is its dynamic always gradual. Discovery can be sparked into
being by an unlikely combustion, pragmatically driven and above all, errs towards sustainability,
its great self, no matter how outlying its' gaze.
EFTA00589686
EFTA00589687
Document Preview
PDF source document
This document was extracted from a PDF. No image preview is available. The OCR text is shown on the left.
This document was extracted from a PDF. No image preview is available. The OCR text is shown on the left.
Document Details
| Filename | EFTA00589683.pdf |
| File Size | 316.8 KB |
| OCR Confidence | 85.0% |
| Has Readable Text | Yes |
| Text Length | 10,048 characters |
| Indexed | 2026-02-11T22:51:06.028263 |