AP Biology class blog for discussing current research in Biology

Tag: computer science

Diving Into the Life of Rene Francolini

Rene Francolini identifies as a proud bisexual, cisgendered female (she/her), who specializes in computational biology. Computational Biology combines her two greatest passions: marine biology and computer science.

Francolini discovered her love for computer science and marine biology in highschool, but was then introduced to the combination of those two topics by one of her highschool teachers. The rest is history. Francolini furthered her education in science and got her undergraduate and accelerated master’s degree at Carnegie Mellon University for Computational Biology. When she came right out of college, she worked as an oyster farmer for a few years before working at the Woods Hole Oceanographic Institute (WHOI). During the last two years spent there. Francolini spent her time in the environmental toxicology lab, collecting Environmental DNA (eDNA) from deep parts of the ocean, and the molecular ecology lab taking part in a larger project known as the Ocean Twilight Zone Project.

The Ocean Twilight Zone Project focuses on gathering research from a part of the ocean called the mesopelagic zone. It’s often referred to as the twilight zone, and is home to the greatest amount of fish in the sea. Often the fish we will find on our dinner plates like tuna and swordfish are coming from there. The twilight zone also takes part in removing some of the carbon in the atmosphere, which regulates our climate. In today’s world, we need to be careful in protecting it because it benefits not only the fish, but us too. This research will help advance ocean science; it will also give government officials insight on this zone, so hopefully they will try their best to protect it.

Francolini is currently getting her Marine Science PhD, while also taking part in the Maine-eDNA project as a Graduate Research Assistant. She’s specifically working on the Gulf of Maine’s kelp forests, and “how we anticipate climate change to alter the landscape and biodiversity of these vital ecosystems” (500 queer scientists). This project combines fieldwork, collecting samples, as well as computational and molecular work. This project showcases how versatile Francolini is as a biologist.

Franciolini loves that being a scientist means that you can share your passion with others, which even leads some to discover a love and interest in STEM and the environment around us. She is proud to be a part of the openly LGBTQ+ minority in STEM, as representation in this field encourages more young scientists that will be coming from our generation to outwardly be who they are without fear of not being accepted and/or respected.

Alan Turing – The Father of Computer Science

Background Information (source & source)

Alan Mathison Turing (1912-1964) was an English mathematician and logician. His works helped develop the fields of computer science and artificial intelligence. Growing up, Turing received top-notch education from private schools because his father was a civil servant for British India. They weren’t necessarily rich, but they were considered to be upper-middle class. Additionally, the headmaster of Sherborne School told claimed that “If he is to be solely a Scientific Specialist, he is wasting his time at a Public School” in response to Turing’s fascination with science at a young age.

This interest in science came from the early stages of his childhood. As Turing’s father worked in India, Turing and his older brother lived in foster homes that did not encourage creativity and research. Due to this bland lifestyle, Turing considered science to be a special experience that he eventually turned into his passion.

Turing’s academic accomplishments allowed him to study at the University of Cambridge, King’s College, and Princeton University.





Church-Turing Thesis and Entscheidungsproblem

Entscheidungsproblem is a German term meaning “Decision Problem”. The Decision Problem is described by the following scenario: Logical premises are used to reach a conclusion. From that conclusion, is it possible to create an algorithm that will determine whether or not that conclusion is true or false for all possible cases?

Turing solved this problem by creating something he called a computation machine, which is now known today as the Turing machine. A Turing machine can be represented by circles, arrows, and symbols. Each circle is a state of the machine. The symbols and arrows indicate how to transition between states. Additionally, there is something called a tape, which is an array of symbols that extends infinitely in both directions. The formal definition of a Turing machine is an ordered septuple that is made of (Q, Sigma, Gamma, q_0, h_a, h_r, and delta). Q is the set of all states, Sigma is the alphabet, Gamma is the alphabet of the tape, q_0 is the start state, h_a is the accept state(s), h_r is the reject state, and delta is the transition function. In order to understand the explanation easier, think of a TM as a theoretical computer.

Turing solved Entscheidungsproblem by creating a general TM that contains every single TM in existence. This is possible because TMs can be used to simulate other TMs and every algorithmic procedure could be carried out by a TM. In order to prove or disprove Entscheidungsproblem, Turing had to prove or disprove that there exist some specific inputs that are not recognized by the general TM. He proved that the answer to the problem was no, solving the Entscheidungsproblem. To this day, TMs are used to teach computer science, as they illustrate the basic functions of a computer.


World War II (source)

During WWII, the Germans were sending encoded messages to each other. The Allied forces struggled greatly due to U-boats and their orchestrated attacks. In an attempt to aid the Allies in the war, Turing and a team created a machine that could decipher their secret messages. They created a way to crack codes at a rate of two per minute, saving millions of lives and speeding up the war by two to four years in the process. There would’ve been an estimated 14 to 21 million lives lost, had the war not been sped up by the code breakers.


Artificial Intelligence (source)

Turing created the first computer chess program, which he called Turbochamp, while he was trying to develop artificial intelligence. Turing had his colleague Alick Glennie play against Turbochamp. Although it wasn’t able to beat Glennie, it was able to play chess at a human level, showing that computers are capable of emulating a human brain to some extent.


Struggle with Homophobia (source)

Turing was openly gay during his life. In 1952, he was arrested for a relationship with a 19-year-old man named Arnold Murray. In court, Turing admitted to performing “acts of gross indecency” and was convicted for it. His punishment was either prison or chemical castration. He chose the latter and lost his job due to his conviction. About 49k are estimated to have been convicted and punished similarly to Turing until the Sexual Offences act of 1967, which decriminalized homosexuality. However, Turing was found dead at the age of 41 as a result of cyanide poisoning in 1954, 13 years before the outdated laws were replaced. It is thought that he committed suicide, but there are some indications that it was a result of accidental poisoning.

In response to his persecution, Turing received a posthumous royal pardon in 2013 and will be featured on the new British £50 banknote by the end of 2021.



It is unfortunate that Turing did not get the treatment he deserved for his accomplishments. He is an extraordinary scientist who is comparable to Charles Darwin, but he is not nearly as well known. However, Turing started to become a symbol and a martyr over time, inspiring people to reflect on their discrimination in the past. I hope that Turing’s story will become more well known so that people all around the world will be able to experience it too.


Powered by WordPress & Theme by Anders Norén

Skip to toolbar