Team:Stony Brook/Attributions
Attributions
iGEM at Stony Brook would like to thank the following individuals and groups. Without their help, our project would not be where it is currently.
Advisors
Our project advisors: Dr. J. Peter Gergen, Dr. Gabor Balazsi, Dr. Jarrod French, Dr. Steven Glynn, and Dr. Joshua Rest for their expertise and help with almost every aspect of our project, from wet lab protocols to modeling support.
iGEM Reading Course
Members from previous Stony Brook iGEM Teams were teaching assistants for our spring reading course about iGEM. They helped clarify terminology surrounding synthetic biology, gave tips about how to design our construct, and gave some insight into what worked well and what did not work well in the past. We are also thankful for the TAs for coming in during the summer and helping us when we needed it.
Research Support and Professional Advice
We would like to thank the following individuals for their valuable advice and support regarding our project:
Mike Axelrod
Greenhouse Curator
Mike helped us plant the seeds for our project the right way, and gave us space in the greenhouse to grow our plants.
John Klumpp
Assistant Greenhouse Curator
John helped us set the proper conditions for our growth chamber, and assisted us with growing the plants in the greenhouse.
Oleksandra Romanyshyn
PhD Candidate, Stony Brook University
Ms. Romanyshyn provided us her advice on yeast as well as bacterial plasmids.
Student Roles
| Name | Roles |
|---|---|
| Chris Helenek | As a team leader, Chris helped keep the team on track of important deadlines and goals for the week. He also worked on the image processing aspect of the modeling. |
| Anh Vo | As a team leader, Anh helped organize the team in terms of wet lab protocol and wet lab workflow. She also worked on law research for our human practices. |
| Agam Singh | Agam worked primarily to secure space for our plants, and to make sure that enough were growing for our experiments. He also made sure that we had the right equipment to properly image the plants. |
| Alex Maus | Alex did most of his work in wet lab by running gels and pouring plates. He also helped with performing minipreps and nanodrops for the various experiments we had. |
| Anya Justin | Anya did most of her work in wet lab by culturing bacteria and performing minipreps. She also led the characterization experiments for our team. |
| Ayesha Kamran | Ayesha researched the evolutionary history of the XRN family as part of our modeling. She also was responsible for securing events so that we could talk about synthetic biology with the community. |
| Chyna Hardy | Chyna was the primary person who reached out to people outside the scientific community for perspective on our project. She also helped in wet lab when needed. |
| Jesse Liu | Jesse focused on modeling our experiments using ordinary differential equations. He also worked in wet lab when there was a lot to do. |
| Jihu Mun | Jihu worked on the coding aspects of our project, including the wiki, the opentrons robot, and our TMV spread model. When he wasn’t coding, he was helping out with the wet lab experiments. |
| Kiara Kolaczyk | Kiara was the primary person who would contact other teams through social media or email. She would help set up collaborations with other teams, and help us carry them out. |
| Nabil Chowdhury | Nabil focused on designing the construct for our experiments. Once that was done, he then moved into helping with all of the wet lab aspects of our project. |
| Parisa Boukani | Parisa was responsible for ordering new supplies and making sure that our inventory was organized. She would also help with wet lab and evolution modeling when there was time. |
| Taylor Pressley | Taylor was also responsible for reaching out to others for our team. She would contact people for both insight into our project, and for events to showcase synthetic biology. |
| Vincent Peetz | Vincent worked on most of the wet lab experiments for our project. When not doing experiments, he was studying papers to help the modeling team with their models. |
