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  • 14 Jul 2026 8:29 PM | Anonymous


    Olivia Chu (Bryn Mawr College), Ryan Murphy (Adelaide University), Ananth Srinivas (LSU Health New Orleans), and Kira Pugh (Uppsala University). We welcome Kira to the newsletter team and thank outgoing editor Sara Hamis for her contributions!

     

    1. News - updates from: 
    2. People - Interview with Parmvir Bahia, CEO of Scientists Inc and Artha Science Media
    3. Editorial - A message from the Annual Meeting organizers
    4. Featured Figure - Khola Jamshad, University of Michigan 

    To read the subsections of this issue, click the links at the above items.

    Contributing content

    Issues of the newsletter are released four times per year in Spring, Summer, Autumn, and Winter. The newsletter serves the SMB community with news and updates, so please share it with your colleagues and contribute content to future issues.

    We welcome submissions to expand the content of the newsletter. The next issue will be released in Autumn, so if you would like to contribute, please send an email to the editors by the start of September 2026 to discuss how your content can be included. This could include summaries of relevant conferences that you have attended, suggestions for interviews, professional development opportunities etc. Please note that job advertisements should be sent to the Member Forum rather than to the newsletter.

    If you have any suggestions on how to improve the newsletter and would like to become more involved and/or contribute, please contact us at any time. We appreciate and welcome feedback and ideas from the community. The editors can be reached at newsletter@smb.org.

    We hope you enjoy this issue of the newsletter!

    Olivia, Ryan, Ananth, and Kira 
    Editors, SMB Newsletter


    News Section

    By Ananth Srinivas

    In this issue of the News section, we highlight the updates from the SMB Board of Directors, Bulletin of Mathematical Biology (BMB), SMB Subgroups, Upcoming Conferences and Programs, and Royal Society Publishing. Read on below.


    Results from SMB Board of Directors Election

    As announced in a communication from June 19th, the SMB Board of Directors will be welcoming the following people to the Board. They will take office immediately following the 2026 SMB Annual Meeting.

    • President-elect: Abba B. Gumel (University of Maryland, College Park)
    • Directors-at-Large: Kathleen Hoffman (University of Maryland, Baltimore County), Reginald (RB) McGee (Haverford College/Virginia Commonwealth University), Melissa Renardy (GlaxoSmithKline)
    • Early Career Members-at-Large: Alex Browning (University of Melbourne), Chunyi Gai (University of Northern British Columbia) 

    From BMB

    The society’s official journal, Bulletin of Mathematical Biology, has opened Topical Collections, which include:

    1. Tutorials on the applications of AI/ML in classical mathematical biosciences.  Details here
    2. Modeling virus-immune dynamics for disease control. Details here, and
    3. Data-driven and theoretical advances in mathematical biology. Details here

    All three open collections have closing dates later in 2026.

    SMB Subgroup Updates

    Immunobiology and Infection

    The IMMU subgroup is looking forward to an exciting slate of talks and posters at ECMTB-SMB 2026 in Graz, where Jason Shoemaker and Tin Phan will take over the subgroup’s leadership. They are planning an IMMU subgroup get together, so stay tuned for more details. A very sincere thank you to Daniel Reeves for his years of work as IMMU’s outgoing Secretary. It was so lovely to have the opportunity to work together! If you haven’t yet had the chance to subscribe to the IMMU subgroup’s new(ish) weekly newsletter, you can do so here: https://mathimmunoweekly.substack.com/. The newsletter highlights new papers in the field, meetings and funding opportunity, and job posts, among other fun immunobiology facts and news.

    Cell & Developmental Biology (CDEV)

    • The CDEV subgroup will host a session at the SMB-ECMTB Annual Meeting in Austria on "State of the art methods in modeling for cell and developmental biology."
    • They also host a virtual Summer Seminar Series: CDEV Monthly Monday Summer Seminar Series.

    Mathematical Neuroscience

    The Mathematical Neuroscience subgroup of the SMB will be well represented at the annual ECMTB meeting in Graz, Austria. There will be eight minisymposia in the Neuroscience and Neural Systems category at the meeting. These cover a wide range of neuroscience topics, including protein dynamics in neurodegenerative diseases, brain development, immune attack on the nervous system in multiple sclerosis, modeling neural assemblies, neural dynamics, and multiple timescale dynamics in neurons and excitable systems. In all, there will be 40 oral minisymposium presentations at the meeting related to mathematical neuroscience. This is in addition to contributed talks and posters. We anticipate lively discussions and exchange of ideas among participants.

    Population Dynamics, Ecology and Evolution (PDEE)

    The PDEE subgroup held its first annual online conference on February 25, 2026. The conference featured 29 speakers from five continents, and drew over 100 attendees. We are looking forward to the next online conference in early 2027!

    The subgroup is sponsoring a Minisymposium and two other events at the SMB-ESMTB meeting in Graz, Austria, this summer. Minisymposium MS131 will take place on Thursday and Friday.

    The subgroup’s annual Business Meeting will take place on Tuesday at 12:30, and there will be an informal PDEE lunch gathering on Thursday starting at 12:15 (come at any time). All are welcome! If you wish to come to the Business Meeting or the lunch gathering, be sure to sign up for the conference lunch package on the relevant day(s).

    Methods for Biological Modeling

    The Methods group would like to advertise about an open special issue titled “Tutorials on the Applications of AI/ML in Classical Mathematical Biosciences”: https://link.springer.com/collections/ddbbjjgjhc

    Cardiovascular Modeling

    The Cardiovascular Modeling Subgroup would like to warmly welcome Dr. Keshav Patel to our leadership group. Keshav is currently a Postdoctoral Research Fellow in Karin Leiderman's lab at The University of North Carolina at Chapel Hill. Keshav becomes the subgroup's first ever Trainee Representative, a role that will give him the opportunity to actively contribute to the coordination of subgroup activities, and a platform to advocate for the needs of early career subgroup members.

    Welcome, Keshav!

    Reaction Networks (SRN)

    The SMB Reaction Networks (SRN) Subgroup continues to build momentum during its inaugural year, with growing community engagement and several exciting scientific initiatives.

    At the 2026 SMB/ECMTB Annual Meeting in Graz, the SRN Subgroup is organizing multiple minisymposia, including two featured minisymposia entitled Past, Present, and Future of Reaction Networks Theory and Reaction Networks in Modern Mathematical Biology. These featured sessions will include keynote presentations by Gheorghe Craciun (University of Wisconsin–Madison) and Elena Baake (Bielefeld University), respectively, and will be complemented by several additional minisymposia covering deterministic and stochastic reaction networks, systems biology, population genetics, and related applications. The meeting will also host the subgroup's inaugural business meeting, during which members will elect the first regular SRN leadership. 

    Earlier this year, many SRN members participated in the successful Chemical Reaction Networks in Hawaiʻi (CRNT2026) conference, which brought together researchers from mathematics, biology, chemistry, and engineering. Recordings of most presentations remain publicly available through the conference website, providing a valuable educational resource for the broader community. 

    The subgroup is also pleased to highlight a recent publication by some of its members —Yi Fu, Hye-Won Kang, Wasiur KhudaBukhsh, Lea Popović, Greg Rempala, and Ruth Williams—published in the SIAM Journal on Life Sciences. The paper, Fragility in a Togashi–Kaneko Stochastic Model with Mutations, appears in one of the inaugural volumes of the journal and represents an exciting contribution to improve our understanding of stochastic reaction networks theory and mathematical biology. 

    Looking ahead, the subgroup is preparing a proposal for a Collection (Special Issue) in the Bulletin of Mathematical Biology devoted to Reaction Networks. The proposed collection will highlight recent advances in deterministic and stochastic reaction network theory and their applications in mathematical biology. We expect to share additional details and a call for papers around the time of the SMB Annual Meeting in Graz.

    Finally, congratulations to Professor Alicia Dickenstein, member of the SRN Honorary Advisory Committee, who was recently featured on the Society for Mathematical Biology's Biology in Numbers podcast (Season 3, Episode 7), highlighting her pioneering contributions to chemical reaction network theory and mathematical biology. 

    Researchers interested in reaction networks are encouraged to join the SRN Subgroup and visit the subgroup website for news, events, resources, and membership information.

    Upcoming Conferences and Programs 

    SMB Annual Meeting

    SMB looks forward to welcoming you next week to the 2026 Annual Meeting in Graz, jointly held with ESMTB! Read a message from the organizers below in the Editorial. 

    CRAB 2026

    The organizers of CRAB 2026 would like to invite you to contribute a communication at the 2026 Complexity Research in Animal Behaviour (CRAB) event that will occur as a satellite of the Complex Systems Society Annual Conference (CCS'26) in Binghamton, NY.

    In its 3rd edition, CRAB is honored to have two outstanding keynote speakers: Mari Kawakatsu (UPenn) and Andrew Hein (Cornell). Both have made important contributions to the field, publishing influential work that has helped shape our understanding of emergence across a wide range of biological systems.

    CRAB is a great place to share your latest research and connect with colleagues also interested on the interface of complexity science and biological systems. We expect a lively debate among the diverse audience featuring scientists from distinct backgrounds (e.g. ecologists, physicists, mathematicians). Please consider submitting an abstract before the July 15th deadline.

    Royal Society Publishing

    The journal Interface Focus is currently looking for proposals for theme issues on high quality topics in any area at the interface of the physical, biological and social sciences. To find out more and to submit a proposal, please visit https://royalsocietypublishing.org/rsfs/pages/submit-proposal

    Royal Society Publishing has recently published the following OPEN ACCESS theme issues of Philosophical Transactions A under the 'Subscribe to Open' 2026 initiative:

    • Symbolic regression in the physical sciences organised and edited by Deaglan J Bartlett, Harry Desmond, Pedro G Ferreira and Gabriel Kronberger and the articles are FREE to access at www.bit.ly/TA2317
    • Statistical workflow compiled and edited by Andrew Gelman, Aki Vehtari, Richard McElreath and Elizabeth Wolkovich and the articles are FREE to access at www.bit.ly/TransA2321.
    • Critical transitions and intelligent control in complex systems compiled and edited by Jinqiao Duan and Ting Gao and the articles are FREE to access at www.bit.ly/TransA2322. A print version is also available at the special price of £40.00 per issue from sales@royalsociety.org



    New Book Announcement

    Springer has recently published a new book in mathematical biology, Mathematical Demography: Theory and Modeling, by Professor Arni Srinivasa Rao from Augusta University. In his own words: 

    One of the distinguishing aspects of my textbook is its balanced emphasis on both foundational mathematical and stochastic modeling theory. It is designed so that a mathematical biologist can transition into a strong foundation in stochastic modeling, while at the same time a stochastic modeling-oriented biologist can develop a solid grounding in elements of mathematical biology. This two-way foundation is something unique in this book, which, in my view, is largely lacking in most existing textbooks on the subject, including, for instance, classics like JD Murray's book. Since I work in both these aspects, it worked out well for the book. I dedicated this book to all my early career postdoc mentors, including Anderson and May. In addition, the book includes several out-of-the-box topics in stationary population models that extend beyond the standard scope.



    People Section

    By Kira Pugh 


    We speak with Parmvir Bahia, a neuroscientist trained in pharmacology and a passionate advocate for science communication, who is the CEO of Scientists Inc and Artha Science Media, director of taste of science festival, and podcast host of 2Scientists. Read our interview here


    Editorial

    By Ryan Murphy


    In this issue, we hear from the organizers of the upcoming ECMTB'26 conference, who share the following:

    We are excited for the upcoming edition of the ECMTB/SMB conference, which will take place in Graz, Austria, from July 13th to 17th, 2026, organized by the University of Graz.  As a joint meeting of the European Society for Mathematical and Theoretical Biology (ESMTB) and the Society for Mathematical Biology (SMB), this edition of the ECMTB will reinforce the event as one of the world's leading conferences at the interface of mathematics, computation, and the life sciences. The conference will gather a unique mix of scientists from across the globe to exchange ideas and present the latest advances in mathematical modelling, data-driven biology, epidemiology, oncology, neuroscience, ecology, systems biology, and many other emerging research areas. The scientific programme includes plenary lectures by internationally renowned experts, minisymposia, contributed talks, poster sessions, and networking opportunities, including dinners or a visit to the gorgeous vineyards of the region of Styria, designed to foster new collaborations across disciplines. With an expected attendance of around 1,300 participants, including a large international contingent, ECMTB 2026 provides a unique forum for exploring how mathematical and computational approaches can help address some of the most pressing challenges in biology, medicine, and public health.

    Graz, a vibrant university city located in the Austrian southeastern region of Styria is home of five universities and of a thriving network of technological companies, where historic architecture, innovative research, and exceptional quality of life come together. The city boasts a dynamic research environment, shaped by both its long academic tradition and the influx of innovative ideas from the many interdisciplinary initiatives taking place there. Beyond the conference, the attendants will have the opportunity of discovering the charm of one of Europe's most attractive and dynamic academic cities. From its UNESCO-listed old town and iconic clock tower to its lively cafés, green spaces, and cultural scene, Graz offers an inspiring and welcoming environment for scientists and visitors alike.

    All the information can be found there: https://ecmtb2026.org.

    We are looking forward to welcome you all in Graz!

    Engaging with SMB


    Featured Figure

    By Olivia Chu

    In this issue, we feature the work of Khola Jamshad and Trachette Jackson in their recent paper, A Hallmark-Integrated, Agent-Based Framework for Intratumor Heterogeneity in Melanoma Evolution

    We asked the authors to tell us a bit more about their work:

    We developed an agent-based model, BEP-HIM, to investigate the branching evolutionary dynamics of tumors through a novel framework that explicitly captures the interplay among sustained proliferation, enhanced survival, immune evasion, and the enabling characteristic of genetic instability. The model incorporates biologically grounded representations of tumor cell behavior and immune interactions (left panel) to explore spatiotemporal intratumor heterogeneity (ITH) and its role in shaping key phenotypic behaviors during tumor evolution (middle panel). Although the current implementation is calibrated to melanoma using key driver mutations, the underlying framework is generalizable and can be adapted to study spatial heterogeneity and evolutionary dynamics across a range of cancer types.

    BEP-HIM accurately reproduces several clinical observations associated with melanoma and suggests possible mechanisms that may underlie them (right panel). Simulations produce three distinct ITH modes that can be distinguished using a fractal-dimension metric, particularly highlighting the transition from clonal and subclonal regimes to a fractal heterogeneity mode in which spatial arrangements become more complex. The analyses reveal a separation between the determinants of growth and diversity, offering a conceptual tool for understanding why tumors of similar size can exhibit dramatically different evolutionary architectures. Our model shows that CTL recruitment is the most influential parameter in determining tumor ITH as it controls the clearance of tumor cells during early growth periods, supporting experimental findings suggesting that melanoma prognosis is shaped more strongly by tumor–immune interactions than by the genetic subtype of driver mutations. Finally, BEP-HIM captures the importance of tumor cell motility in generating tumor morphologies that more closely match clinical observations.



  • 11 Jul 2026 6:42 PM | Anonymous

    …where we talk: an induction to MathBio, neuroscience in flies, and optimizing coffee breaks.

    Lukas did a PhD at the University of Oxford and a postdoc at the Max Planck Institute of Neurobiology, where he discovered how single neurons implement basic arithmetic operations. Now he is an associate professor at the Medical University of Graz.

    Learn more about Lukas’ work on his website: groschner-lab.org

    Learn more about this year's Annual Meeting at: ecmtb2026.


    Find out more about SMB on: 

    Apple Link      Spotify Link     Read the full transcript


  • 07 Jul 2026 4:36 PM | Anonymous

    An analytical framework for phenotypic selection of fitness-conferring genes

    by Marc Sturrock, Anna Sturrock

    Read the paper

    Genetically identical cells differ in how much of any given protein they carry because gene expression is noisy. Under stress, such as when exposed to an antibiotic or a chemotherapy drug, the cells that happen to hold high levels of a useful survival protein outlast their less lucky neighbours, leaving the population transiently enriched for the survival phenotype without any genetic change. We derive an exact theory of when this happens. When stress kills cells outright, as in cancer chemotherapy, ordinary baseline noise is enough. When stress only slows growth, a cellular memory loop is required. Either way, this transient phenotypic resistance buys cells time during which permanent drug-resistance mutations can arise.


    Image Description: An exact framework for the selective enrichment of fitness-conferring genes. Top: under growth-driven selection, a feedback loop linking growth to protein production enriches the survival gene relative to a neutral reference. Bottom: under death-driven selection, enrichment arises from ordinary gene-expression noise alone, with no feedback required.

  • 02 Jul 2026 4:29 PM | Anonymous

    Sustainable Coexistence with Infectious Diseases: A Behavioral Feedback Model Driven by Resource Accessibility under Static-Dynamic Optimal Control

    by Yangyang Zhang, Huijun Liu, Sanyi Tang, Lili Liu

    Read the paper

    This study investigates the behavior-disease feedback mechanism and explores optimal control strategies balancing infection burden and intervention costs under the long-term management goal of coexisting with the virus. Simulations based on influenza data from Shanxi Province show that spontaneous, risk-driven behavioral adaptation alone can generate multi-peak epidemic waves. Static optimization reveals the behavioral threshold and public risk attention determine optimal intervention intensity and convergence. Dynamic optimization targeting the transmission rate alone or jointly with the behavioral threshold shows that early intervention during the rapid growth phase prevents repeated policy oscillations and epidemic rebounds.


    Image Description: Balance the infection burden and intervention costs when facing the long-term management goal of coexisting with the virus

  • 30 Jun 2026 5:59 PM | Anonymous

    …where we talk: time at Los Alamos, modeling TB, and tips for international flights.

    Dr. Kirschner was the first mathematics professor appointed in a medical school. She researches immune responses to infections using multiscale modeling. She served as Editor-in-Chief of the Journal of Theoretical Biology for 20 years and as president of SMB.

    Learn more about Denise’s work on her website: http://malthus.micro.med.umich.edu


    Find out more about SMB on: 

    Apple Link      Spotify Link     Read the full transcript


  • 30 Jun 2026 3:30 PM | Anonymous

    The Society is accepting nominations for the 2027 Society Prize Award cycle. Society members are encouraged to nominate candidates by submitting the required materials in PDF format via the Prize submission form. Contact SMB Secretary Brandilyn Stigler (secretary@smb.org) if you have any questions.

    By Monday, 14 September 2026, the nominator must submit:

    • Contact information for the nominators and nominee, including SMB Members IDs for both nominator and nominee
    • A letter (no more than 4 pages) describing the nominee's qualifications and commenting on the nominee's scientific contributions for the society award.
    • The nominee's curriculum vitae, including all publications.
    • Two supporting letter

    Submit Your Prize Nomination

    Nominees may be affiliated with non-academic institutions, however, please note that Society membership is a requirement for the nominator and nominee. All applications must be complete and submitted by Monday, 23:59PM ET, 14 September 2026 in order to be considered.

  • 29 Jun 2026 4:24 PM | Anonymous

    Refining niche metric calculations: A modified weighting approach to Colwell and Futuyma’s method

    by Kürşad Özkan, Serkan Özdemir, Bart Muys, Salih Doğan

    Read the paper

    This study resolves long-standing limitations of the Colwell & Futuyma (1971) method for calculating niche breadth and niche overlap. The original weighting factors collapse to zero when resource states are empty or uniformly used, making niche calculations undefined. We introduce modified weighting factors based on exponential transformations that always yield positive values, ensuring valid niche metric computation under any resource matrix structure. Testing with eight hypothetical matrices and an empirical mite community dataset demonstrated that the edj factor consistently produces ecologically meaningful results, correctly ranking specialists and generalists and resolving previously undefined niche overlap.


    Image Description: This study introduces modified weighting factors based on exponential transformations to resolve the mathematical limitations of classical niche metrics (Colwell & Futuyma 1971; Hanski 1978). The classical weighting factors collapse to zero under certain resource matrix configurations, rendering niche breadth and overlap calculations undefined. The proposed modification ensures strictly positive weights while preserving the unit-sum constraint and full compatibility with the original framework. Validation across eight hypothetical matrices and an empirical dataset of 18 Raphignathoid mite species across six habitats in Türkiye demonstrates that the modified relative factor consistently produces ecologically coherent niche metrics, correctly ranking specialists and generalists and resolving previously undefined niche overlap estimates.

  • 23 Jun 2026 4:18 PM | Anonymous

    Ensemble Optimal Control for Managing Drug Resistance in Cancer Therapies

    by Alessandro Scagliotti; Federico Scagliotti; Laura Deborah Locati; Federico Sottotetti

    Read the paper

    Cancer treatment often relies on the highest dose a patient can tolerate, but this may not be the best way to control tumors over time. This study uses mathematical modeling to explore a different approach: managing the balance between drug-sensitive and drug-resistant cancer cells. By simulating prostate cancer treated with androgen deprivation therapy, the authors show how treatment timing could be adapted rather than kept continuously high. The proposed “Off-On” adaptive therapy starts with observation and introduces treatment only when needed, aiming to keep the disease under long-term control. The work suggests that smarter schedules, not simply more drug, may improve chronic cancer management.


    Image Description: Left: Ensemble optimal control approach. Center: On-Off Adaptive Therapy. Right: Off-On Adaptive Therapy.


  • 17 Jun 2026 3:56 PM | Anonymous

    Revisiting Turing's Chemical Basis of Morphogenesis

    by John J. Tyson

    Read the paper

    Although Alan Turing’s 1952 paper on the chemical basis of morphogenesis is a classic of theoretical biology, it is notoriously difficult to read. His chemical examples are unusual, his linear stability analysis of the homogeneous steady state seems unnecessarily complex, and his numerical simulations are mysterious. To make Turing’s paper more accessible, I pose his reaction-diffusion equations in dimensionless form, place his linear stability analysis in the context of later approaches, revise his models in more chemically realistic terms, and provide help for computing Turing patterns in one- or two spatial dimensions. I also discuss how Turing’s stationary patterns relate to traveling waves in reaction-diffusion equations.


    Image Description: Left: Turing's First Model; Center: VisualPDE Simulation (https://visualpde.com/sim/?mini=kVvGdOa0; Right: Feather Primordia of 7.5 d Chick Embryo (courtesy D. Dhouailly)


  • 15 Jun 2026 3:42 PM | Anonymous

    Does Timing Matter? Exploring the Effects of Measurement Error on Models

    by Brock D. Sherlock; Marko A.A. Boon; Maria Vlasiou; Adelle C.F. Coster

    Read the paper

    Measurement error is inevitable in experimental data collection. Mathematical biologists typically account for dependent variable errors, while independent variable errors are less commonly considered. This work investigates how independent-variable measurement error affects parameter inference in biological systems and reviews statistical methods to address it. We find that parameter inference is often robust to measurement errors, even without explicitly accounting for them. However, some systems are susceptible to these errors, leading to biased parameter estimates. We evaluate correction methods, focusing on their assumptions and data requirements, to guide researchers in selecting appropriate approaches for their specific contexts.



    Image Description: Illustration of the effects of measurement error in the independent variable. An oscillating model, the amplitude is estimated from synthetic data. The experimental protocol prescribes independent variable values for data collection. These designated times align with the peaks and troughs of the oscillation. However, the independent variable is subject to error and the true values at which measurements are taken are distributed about the prescribed values. When the true independent variable values are recorded (top) naïve parameter estimation can recover the amplitude that generated the data. However, when only the protocol prescribed values are recorded, as opposed to the true independent variable value at measurement, (bottom) naive parameter estimation leads to a biased estimate.

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