PhD in Molecular Medicine. Currently working on immunotherapies in cancer at the Lerner Research Institute

Cleveland, OH
Joined September 2017
Excited to share our second paper on #quantum machine learning out now in Science Advances! 🎉 Here we developed a model to predict neoantigen immunogenicity using a quantum convolutional neural network. #AI #immunology #immunology #quantum science.org/doi/10.1126/scia…
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Tyler Alban retweeted
📢 🎉 Excited to share our new @ScienceAdvances paper on quantum computing for HLA immunogenic peptide prediction and neoantigen discovery. ⚛️🧬 A great collaboration at the intersection of #QuantumComputing, #AI, and #CancerResearch. 📄 Paper: science.org/doi/10.1126/scia…
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Tyler Alban retweeted
Excited to share our new preprint with @ClevelandClinic + @IBMResearch  We used AI + physics-based design to engineer TCRs targeting cancer neoantigens with:
✔ Mutant specificity
✔ Functional activation 🔗 biorxiv.org/content/10.64898…
#Immunotherapy #Cancer
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Excited to share our new preprint with @ClevelandClinic + @IBMResearch  We used AI + physics-based design to engineer TCRs targeting cancer neoantigens with:
✔ Mutant specificity
✔ Functional activation 🔗 biorxiv.org/content/10.64898…
#Immunotherapy #Cancer
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Tyler Alban retweeted
Two papers in @NatureCancer highlighting the role of intratumoral bacteria & associated immune architecture (e.g., neutrophil influx) in mediating resistance to immunotherapy in head & neck cancer. nature.com/articles/s43018-0… nature.com/articles/s43018-0… @GeneCollector @xrtGenomics
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Excited to highlight our recent work in bladder cancer using single cell RNAseq to identify a novel subset of CD6 positive T-cells that associate with BCG resistance. Great collaboration with Angela Ting and Byron Lee! nature.com/articles/s41698-0…
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It was a pleasure to present our teams work on AI designed T cell receptors at #ACS2025 ! Really exciting work coming out of the @ClevelandClinic @IBMResearch #discoveryaccelerator and the @GeneCollector lab!
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Great to have @jmetzcar visit us yesterday and share insights into how mathematical modeling can inform #GBM growth! Looking forward to continuing these exciting collaborations!
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Excited to share our manuscript on quantum machine learning! I’m a believer in team science so here we teamed up with quantum computing experts from @IBMResearch and used quantum ensemble approaches for modeling transcriptomic data to predict IO response. arxiv.org/abs/2506.02213
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Incredible opportunity to share the stage tonight with @VamsiVelcheti tonight at an amazing venue #ASCO2025 @CLEImmunoUpdate
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Here at #ASCO2025 excited to give a talk later on our AI work! @CLEImmunoUpdate
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At the National Academy of Medicine — Joined by my dear buddies and comrades in arms against cancer! Congrats!! @wolchokj @JenWargoMD Luis Diaz
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Super cool to see our work highlighted by @ACIR_org If you haven’t had a chance to check it out yet this is a great summary!
New insights into nivolumab-induced immunoediting bit.ly/403lMIZ  @TylerAlban1  @xrtGenomics  @GeneCollector
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Tyler Alban retweeted
New insights into nivolumab-induced immunoediting bit.ly/403lMIZ  @TylerAlban1  @xrtGenomics  @GeneCollector
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We get all the cool tech in @GeneCollector lab! Excited to see how label free live cell sorting helps improve our single cell seq data quality! 🧐 @levitasbio
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Excited to be part of team science published today in @NatureMedicine with @TylerAlban1 🗞️ Both NSCLC responders and non-responders had anti-tumor T cells. Responders target clonal antigens. 👉rdcu.be/dVyiU
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