Tristan Free
speaker
289 appearances
6 recordings
1 series
first heard Jun 2026
last heard 23 Jul
Tristan Free’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 6 in all, peaking in Jun 2026 with 4.
Appearances
Today we're wrapping up our series covering the article collection on artificial intelligence and machine learning in antibody development in the journal MABS.
You're listening to the Talking Techniques Podcast with me, your host, Biotechnique Senior Editor Tristan Free, and I'm joined today by co-guest advisor of the Article Collection and Assistant Professor at the Stevens Institute of Technology, Ping Quang Lei, to discuss the themes of the article collection, notable highlights, and the future of this field.
Ping Quang, it's great to have you on the podcast.
So first off, please can you tell us a bit more about yourself and your work at the Stevens Institute?
Fantastic.
Um, and can you tell us a bit more about your thoughts leading into this article collection?
What were your kind of aims for it?
Why did you think it was really important to put together?
Um, yeah, what was going through your mind when you put um sort of put together that proposal?
Brilliant.
Well, um, I'm glad to say that the collection has been hugely popular, both in terms of the engagement with submissions um and also people reading.
So it's had twenty two papers published so far and well over a hundred and thirty thousand views on the articles.
So with with that in mind and and kind of looking back at those aims, would you say that you think that those have been achieved?
Great.
And do you have any papers in the collection a a pat that are a particular highlight for you?
Um, or that you'd like to kind of highlight to the listeners or to say, Look, go, you've got to make sure you listen to this one.
Brilliant.
And and so what were some of the key themes that you noticed kind of running through the collection as it was published?
Brilliant.
Um, and are there any areas that you feel um perhaps haven't been covered widely enough or that you wish you'd put a bit more emphasis on?
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