Eric and Wendy Schmidt AI in Science Postdoctoral Fellow. Combining ecology, evolution and mathematics to improve cancer treatment scheduling.

Joined November 2016
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Could adaptive therapy improve PARPi maintenance for ovarian cancer? I’m very happy and proud to share our new paper, now out in Cell Systems: cell.com/cell-systems/fullte… A tweetorial [1/12]
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Excited to begin a new chapter as an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow at @imperialcollege & @ICR_London! I’ll be combining math modeling and AI to optimize cancer treatment. Ping me if you're interested in #MathOnco, #CancerEvolution, or reducing toxicity!
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Evolutionary theory tells us that to cure #ovariancancer we need to target it when its most vulnerable – at the end of 1st-line tx. The challenge: that’s also when treatment-induced toxicity is greatest. Check out our new @imoworkshop pre-print with 3 ideas how to tackle this!
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It has been an amazing experience working with #TeamRuby. And thanks to the leadership and energy of @ErinGeorgeMD experiments exploring new targeted therapy combos have already started. Can’t wait to see where this goes next! @MoffittNews @mathonco
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Maximilian Strobl retweeted
Save the date #MathOnco25! October 29th-31st in Tampa, Florida. Directly before the 13th @imoworkshop (November 3rd-7th) - stay the weekend and brainstorm the beaches! More information to follow but @EvolTherapy will be a key theme @mathonco @MoffittNews
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Attention #MathOnco friends! We'd like to put together a collage of pictures of the mathonco presence at #AACR25 for the @mathoncoblog newsletter. DM me yours by Monday (05/05) if you'd like to see yours included.
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Very proud of this team snatching up 1st place & $50k pilot funding towards beating HR #ovariancancer at @imoworkshop. It was my 1st time as team lead and more than anything it was simply a lot of fun! Thanks #TeamRuby for an incredible week! Looking forward to what's next!
The winners of the 12th @imoworkshop on Toxicity are #TeamRed! Led by the synergistic combination of @ErinGeorgeMD @StroblMAR & Paulo Rodriguez. Congratulations on a unanimous win!! Excited to see where this project goes with the $50K winning prize from @MoffittNews #MoffittIMO
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Thanks for the shoutout! I fully agree. Models help us to better design and interpret our experiments and conversely experiments enable us to calibrate and advance our models. In short: Integration drives iteration drives progress!
#SysBio4CancerResearch: The best way to bring preclinical data to bear on clinical translation is the integration of mathematical models to interpolate or extrapolate these data, and to test & generate hypotheses about underlying biological mechanisms. A recent great example of model iteration is @stroblmar’s paper on PARP inhibitors in ovarian cancer: cell.com/cell-systems/abstra…
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Maximilian Strobl retweeted
#SysBio4CancerResearch: The best way to bring preclinical data to bear on clinical translation is the integration of mathematical models to interpolate or extrapolate these data, and to test & generate hypotheses about underlying biological mechanisms. A recent great example of model iteration is @stroblmar’s paper on PARP inhibitors in ovarian cancer: cell.com/cell-systems/abstra…
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Maximilian Strobl retweeted
Our recent @PRX_Life paper was selected as the very first journal cover and it looks great :) Past thread explaining why we're are just so excited about this result below:
Incredibly excited that our paper examining the role of ecological interactions in preexisting drug resistance is out! We tackle the apparent paradox between the cost of resistance in the absence of treatment, and the ubiquity of preexistence. 1/20 Link: go.aps.org/4c5FmH4
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To learn more about the paper behind this awesome cover, check out @SciKit_G tweetorial here: x.com/scikit_g/status/180632…

This week in #MathOnco is back! Cell-state transitions, adaptive therapy, spatio-temporal dynamics, and more... Art: Kit Gallagher (@SciKit_G) 😎💯
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Maximilian Strobl retweeted
SMB Math ONCO talks with Ray Zhang(@ucimath) and Maxi Strobl(@ClevelandClinic): Investigating glioblastoma with physics informed neural networks and models as a tool for drug scheduling in cancer treatment. #smb #ksmb @KSMB_SMB2024
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Maximilian Strobl retweeted
.@StroblMAR combines preclinical experiments and mathematical models to better understand dynamics of resistant and sensitive cells to optimize treatments
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Maximilian Strobl retweeted
First presentation from #AndersonLab @PhilipMaini student at #SMB2024 by @SciKit_G presenting new work on, Personalizing cancer treatment schedules by integrating mathematical modeling with patient data #KSMB @mathonco
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Good morning #SMB2024! Want to learn more about the mathonco newsletter, our community-driven resource for everything #mathonco? Say hello during the meeting and pick up some cool stash 👉 mathematical-oncology.org/
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Maximilian Strobl retweeted
Here we see some patients benefit from adaptive therapy more than others, but can we predict which patients will benefit (and by how much) at the start of treatment? I'm presenting our latest work on this at #SMB2024 on Monday (July 1st)- 4pm in 221.2F @SMB_MathBiology #mathonco
Could we use deep learning to personalize cancer treatment schedules? We explore this in castrate-resistant prostate cancer, in a new paper out in Cancer Research @CR_AACR: doi.org/10.1158/0008-5472.CA… A tweetorial (or should I now say an eXposition?) [1/11]
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