Profile

• Time Zone

  Eastern

  
  
• Organization

  University of Toronto

  
  
• Role

  Scientist Mentor: I will mentor teams of students online

  
  
• Research Interests (300 words)

  Population Genetics, Sexual Dimorphism, Lifespan, Asexual reproduction

  
  
• Do you have previous experience in mentorship or educational outreach? Please list here (200 words)

  (not set)

  
  
• Profile Question 1

  What lessons have you learned in your career about how science works?

  
  
• Answer the question you selected for profile question 1 here (300 words):

  Science is just empirical investigation. The greatest thing I've learned is that the quality of the science is as much determined by the question your asking, or what investigation you're doing, as by how hard you investigate it. Thinking about what we want to know and why is actually the most important part of discovery

  
  
• Profile Question 2

  When and why did you decide to go into a science career?

  
  
• Answer the question you selected for profile question 2 here (300 words):

  I decided I wanted to go into science sometime in elementary school, once I figured out that death was terrifying. I decided, at the age of seven or eight, that the only way to face this fear, was logically: to figure out what caused aging and stop it and thus achieve immortality.
  
  To me, science wasn't just the answer for the big picture questions of the world (why, how, what) but also the way that we make sense and deal with it. Understanding a problem is the first step to fixing it and therefore science was the way I decided to make the world a little better

  
  
• Profile Question 3

  (not set)

  
  
• Answer the question you selected for profile question 3 here (300 words):

  (not set)

  
  
• Help represent the outreach efforts of your societies. Please click all those organizations you are a member of:

  (not set)

  
  
• Capacity: How many teams at a time are you comfortable working with?

  2

  
  

Recent Posts

Plant Thingz Chloe Melo-Gavin Apr 11, 2022

This seems like solid reasoning! One can also imagine that if water was too hot, there might have been some evaporation. However, It seems that both warm and hot water eventually catch up to each other, and that those in the hot water condition were…

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This seems like solid reasoning! One can also imagine that if water was too hot, there might have been some evaporation. However, It seems that both warm and hot water eventually catch up to each other, and that those in the hot water condition were actually doing pretty well. Is there a reason you think the hot water treatment isn't viable? Do you think the differences between hot and warm water could be due to chance?

Peyton mentions hot water seeds dying, but I'm not sure I see that reflected in the graph.

6a5 Nature's JEMZ Chloe Melo-Gavin Mar 29, 2022

Hello all! Well it seems that you're able to predict your results fairly well. I think you guys are right that the sugar in the soda is likely what contributed to the mold in that treatment, but it's a shame, since you won't know if the…

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Hello all! Well it seems that you're able to predict your results fairly well. I think you guys are right that the sugar in the soda is likely what contributed to the mold in that treatment, but it's a shame, since you won't know if the poor growth is due only to the mold or the ingredient in the soda itself.

All things in life are made up of chemicals, but it does seem likely that soaps without harsh chemicals would be gentler on the seeds! One interesting thing to note is also that soap can form a sort of film, which might make it difficult for the plants to absorb the water, even without as harsh chemicals.

In terms of salt water, just like people aren't able to drink salt water, it seems likely that most plants can't either, except for specialists.

6a5 Nature's JEMZ Chloe Melo-Gavin Mar 24, 2022

Very interesting data! How do you expect the mould to effect your results? Obviously mould wasn't something you initially accounted for, and might be variable (by chance) between treatments, but if all treatments have an equal chance of mould,…

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Very interesting data! How do you expect the mould to effect your results? Obviously mould wasn't something you initially accounted for, and might be variable (by chance) between treatments, but if all treatments have an equal chance of mould, do you still expect that might effect treatments differently?

Do you guys have any potential reasoning for your results and why you think soda for instance might not be doing well? One might think the excessive sugar could have been a benefit compared to water, but it doesn't seem to be the case? What main factors from these treatments do you think are responsible for your results?