Maximilian Strobl

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

[Maximilian Strobl @StroblMAR]

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:
https://t.co/yfo2azHGcZ
A tweetorial [1/12]

[Maximilian Strobl @StroblMAR]

@MDLuecken @imperialcollege @ICR_London Haha, will do!

[Maximilian Strobl @StroblMAR]

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!

[Maximilian Strobl @StroblMAR]

@IX_AI_SciCentre @schmidtsciences

[Maximilian Strobl @StroblMAR]

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

[Maximilian Strobl @StroblMAR]

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!

[Maximilian Strobl @StroblMAR]

To read more:
https://t.co/yLj3J7vSw9

[Sandy Anderson @ara_anderson]

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

[Maximilian Strobl @StroblMAR]

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.

[Maximilian Strobl @StroblMAR]

@rebecca_bekker @imoworkshop Thank you :)

[Maximilian Strobl @StroblMAR]

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!

[Sandy Anderson @ara_anderson]

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

[Maximilian Strobl @StroblMAR]

@mathoncbro @mathoncoblog Great summary of a fantastic paper! It’s one of my top three papers I’ve read this year. Such a clear yet also detailed overview. Thanks @jmetzcar and team for putting this together!

[Maximilian Strobl @StroblMAR]

@NCIsysbio @mehdiDamaghi @ara_anderson @CellSystemsCP Thanks for sharing our work, @NCIsysbio! If you'd like to learn more about the paper, check out our tweetorial:
https://t.co/ZHx2yHTCRx

[Maximilian Strobl @StroblMAR]

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:
https://t.co/yfo2azHGcZ
A tweetorial [1/12]

[Maximilian Strobl @StroblMAR]

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!

[Jeffrey West @mathoncbro]

#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:

https://t.co/YnJE3VkdVu

[Jeffrey West @mathoncbro]

#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:

https://t.co/YnJE3VkdVu

[Jeff Maltas @JeffMaltas]

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:

[Maximilian Strobl @StroblMAR]

To learn more about the paper behind this awesome cover, check out @SciKit_G tweetorial here:
https://t.co/06X95saNhF

[Jeffrey West @mathoncbro]

This week in #MathOnco is back!

Cell-state transitions, adaptive therapy, spatio-temporal dynamics, and more...

Art: Kit Gallagher (@SciKit_G) 😎💯

[SMB - Society for Mathematical Biology @SMB_MathBiology]

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