4/22: Mercedes Pascual

[ehuppert]

Comment below with questions or thoughts about the reading for this week's workshop.

Please make your comments by Wednesday 11:59 PM, and upvote at least five of your peers' comments on Thursday prior to the workshop. You need to use 'thumbs-up' for your reactions to count towards 'top comments,' but you can use other emojis on top of the thumbs up.

[JuneZzj]

Thank you for sharing your work! You discussed the signatures of the immune selection at the repertoire level in such a diverse system. Do you know what is the signature of the selection at var gene level in the same system? Thank you in advance.

[jsoll1]

Thanks for presenting at our workshop! I'm excited to see your presentation

[Qlei23]

Thank you for sharing your interesting research with us! I'm an outsider of this field but I'm also curious about how immune selection models can be applied to the spread of Covid-19. Thank you and looking forward to your presentation!

[weijiexu-charlie]

Thanks for your presentation! I would really appreciate it if you could explain some of the basic concepts and background information in ecology in your presentation tomorrow!

[Raychanan]

Thank you very much for presenting your work in our workshop!

[boyafu]

Thank you for sharing your research! I look forward to the presentation tomorrow.

[chun-hu]

Thanks for coming! Looking forward to the presentation.

[YuxinNg]

Thanks for the presentation. I would like to hear more bout the application of your research during the lecture. Thanks!

[rkcatipon]

HI Dr. Pascal, like @SoyBison mentioned, it's wonderful to have an evolutionary theorists come to our workshop! I am %100 a layperson here but I was hoping you could explain how evolutionary theorists detect what is a evolutionary trait versus a one-off feature, essentially what is a logterm data trend versus noisey data?

[yongfeilu]

Thank you very much for your presentation! I wonder what brings you to the research question. Why do you think the data is helpful in explaining your question? Thank you very much.

[YaoYao121]

Hi Dr. Pascual, thank you for sharing your work! Could I ask what's the practical application and implications of your research for COVID-19, please? I am a little curious more about these. Thanks!

[shenyc16]

Thank you for sharing this interesting research with us. I think it is inspiring to consider the impact of network in gene on revealing the evidence of non natural processes. To be honest, I know nearly nothing about this field, and I hope you can explain more on discipline-specific models or methods.

[RuoyunTan]

Thanks for sharing your work with us. This is a field that I am not very familiar with. Looking forward to knowing more about your research during the presentation!

[97seshu]

Thank you for presenting! Hope to learn more about it tomorrow.

[siruizhou]

Thank you for sharing! It is really nice to get to learn some work from natural science.

[ginxzheng]

Thank you for sharing! Looking forward to hearing about some work that I have no experience with before.

[caibengbu]

Thanks for sharing your work with us. This is a field that I am not very familiar with. Looking forward to knowing more about your research during the presentation!

[ydeng117]

Thank you for sharing your work! I am wondering how social network theory can work with your theory.

[luckycindyyx]

Thank you so much for sharing such interesting work with us! Same as the questions above, how can we check for the statistics of the newest evolutionary dynamics of immunity network? Also, there seems to be a lot of gene-testing companies. I was wondering whether these companies are legal, and how they can contribute to the record of covid-19. Thanks!

[hhx2207061197]

Thanks for presenting at our workshop! Same question, what are the implications of your research to COVID immunity, or even herd immunity?

[tianyueniu]

Thank you so much for sharing your work! I look forward to your presentation.

[harryx113]

Thank you for coming and look forward to your presentation.

[jinfei1125]

Dear Pascual, thanks for your wonderful paper! I checked the data availability part in your paper, and I find there are different source codes written in C and Python to build models and analyze data. So I wonder why you choose this hybrid? Thank you!

[chentian418]

Hi Dr. Pascual, thanks for sharing your research! In terms of comparison with empirical data, would you mind telling more details about how did you implement PCR amplification and how did you build the classifier for empirical network? Thank you and look forward to your presentation!

[NikkiTing]

Thank you for sharing your work! I'm also interested in how your research can be taken in the context of the COVID-19 pandemic. I look forward to your presentation tomorrow.

[cytwill]

Thanks for your sharing this insightful work! I am curious about more potentials to applying this work to the social science field, for example, maybe transfer the concept in ecological system to cultural studies.

[XinSu6]

Thank you so much for sharing your work. Looking forward to your presentation!

[yierrr]

Thank you so much for sharing! The topic is truly interesting and I look forward to the workshop!

[ttsujikawa]

Thank you so much for the interesting paper! As many students are curious, I am also curious about how you are taking advantage of network analysis over the traditional method? Thank you!

[ziwnchen]

Thanks a lot for the presentation! The topic of network structure, diversity, and eco-evolutionary dynamics is quite interesting! Do you foresee any possibility to apply the research framework/findings to social science research?

[nwrim]

Thanks for coming to our workshop! What do you think could be an application of your work to more social sciencey topics, both in an analogical or methodological sense?

[j2401]

Hi Prof. Pascual! Thank you for sharing with us. I'm curious about a question which seems a little off-topic. Could you share the experience with us that how you would explain and present your work to people with little knowledge in evolution & biology(like most of us)?

[YileC928]

Thank you for sharing! Looking forward to the workshop.

[lyl010]

Thanks for coming! I am wondering about the feedback on applying network similarity to reveal the strain structure. Is this application a validation or prediction? Can network science be used to interpret the process of clustering of genes? I think this application is cool and there might be lots of other opportunities for this method. Looking forward to your presentation!

[bowen-w-zheng]

Thanks for sharing the work. My question is general. How do you use stimulation work to inform your theory and avoid developing a computational model that fits to the theory?

[Yiqing-Zh]

Thank you for sharing the work! Looking forward to the presentation.

[wu-yt]

Thank you so much for sharing your research! The topic is really interesting!

[luxin-tian]

Thanks a lot for sharing your work! I am also curious about that what could be the key takeaways from this research to other fields.

[chuqingzhao]

Thank you for sharing your work! I look forward to the presentation.

[Bin-ary-Li]

Hi, any insight on how your research can be connected to or contributes to our understanding of the covid-19 pandemic?

[alevi98]

Hi Dr. Pascual, thank you for attending our workshop! I'm eagerly awaiting the presentation. I know very little about the field, so I am not well equipped to ask questions, but I guess I'm wondering what you envision the future of epidemiology will be like in light of the COVID-19 pandemic?

[anqi-hu]

Thank you for sharing your work with us. How do the networks you used apply to other fields of research?