Episode 12 - Vlad Cojocaru: Simulating transcriptional regulation, returning to our home countries, and the scales of the genome

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How To Pitch Yourself (And Get A Yes) | 300 27:52

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We made it— 300 episodes of This Is Woman’s Work ! And we’re marking this milestone by giving you something that could seriously change the game in your business or career: the skill of pitching yourself effectively. Whether you’re dreaming of being a podcast guest, landing a speaking gig, signing a client, or just asking for what you want with confidence—you’re already pitching yourself, every day. But are you doing it well? In this milestone episode, Nicole breaks down exactly how to pitch yourself to be a podcast guest … and actually hear “yes.” With hundreds of pitches landing in her inbox each month, she shares what makes a guest stand out (or get deleted), the biggest mistakes people make, and why podcast guesting is still one of the most powerful ways to grow your reach, authority, and influence. In This Episode, We Cover: ✅ Why we all need to pitch ourselves—and how to do it without feeling gross ✅ The step-by-step process for landing guest spots on podcasts (and more) ✅ A breakdown of the 3 podcast levels: Practice, Peer, and A-List—and how to approach each ✅ The must-haves of a successful podcast pitch (including real examples) ✅ How to craft a pitch that gets read, gets remembered, and gets results Whether you’re new to pitching or want to level up your game, this episode gives you the exact strategy Nicole and her team use to land guest spots on dozens of podcasts every year. Because your voice deserves to be heard. And the world needs what only you can bring. 🎁 Get the FREE Podcast Pitch Checklist + Additional Information on your Practice Group, Peer Group, and A-List Group Strategies: https://nicolekalil.com/podcast 📥 Download The Podcast Pitch Checklist Here Related Podcast Episodes: Shameless and Strategic: How to Brag About Yourself with Tiffany Houser | 298 How To Write & Publish A Book with Michelle Savage | 279 How To Land Your TED Talk and Skyrocket Your Personal Brand with Ashley Stahl | 250 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…

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In the twelfth episode, Vlad Cojocaru and I discuss how the simulation field can integrate further layers of complexity in modeling transcription control and genome organization in humans. Vlad shares his insights on the computational biology of transcription factors, including DNA-mediated allostery and pioneer transcription factors, which are crucial for cellular reprogramming. Our discussion then shifts to the underexplored topic of researchers' returning to our home countries as group leaders. We examine the hopes, fears, and conditions for success in making this transition, aiming to rewrite common narratives from our unique perspectives.

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Episode 12 - Vlad Cojocaru: Simulating transcriptional regulation, returning to our home countries, and the scales of the genome

Phase Space Invaders (ψ)

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32 episoder

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Episode 28 - Yuji Sugita: Replica exchange, software for massive simulations, and importance of long-distance collaborations 38:54

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Send us a text In Episode 28, Yuji Sugita shares the story of how he developed temperature replica exchange in the lab of Yuko Okamoto, connecting to his early experience from working with Nobuhiro Go, the father of Go models. We then talk about the process of building up workflows for simulating massive atomistic systems, a multi-year collaboration with Michael Feig, and ponder the question of when one should go about writing their own scientific software rather than reusing existing software packages. Talking about molecular crowding naturally brings us to current and future directions, which for Yuji include simulating increasingly multi-component condensates and exploring multi-resolution schemes in GENESIS. Towards the end, he highlights the need for young researchers to engage with the international community through long-distance collaborations, regardless of where one ends up living and working.…

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Episode 27 - Kresten Lindorff-Larsen: Refining force fields, the science of intrinsically disordered proteins, and writing better grant proposals 49:42

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Send us a text In episode 27, Kresten starts by explaining his path from a wet lab biochemist to a computational biophysicist, a story full of open-ended explorations and helpful mentors. He gives us some background on how both the legacy and latest models developed, highlighting how in each case the driving force were experimental results that either weren't quite matching simulations, or were plenty enough to allow for top-down training. We walk through some of the functions and applications of intrinsically disordered regions, or IDRs in short, and their relevance for medical research. Then towards the end, Kresten shares some tips and observations from his work in grant evaluation, insisting that internal peer review remains the best source of feedback, but in the end it's one's scientific intuition that has to guide us.…

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Episode 26 - Pratyush Tiwary: Infusing AI with physics, understanding emergent phenomena, the value of education and thinking 44:16

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Send us a text In episode 26, we talk about the origins of Pratyush's passion for statistical mechanics, deeply rooted in his background in material science, and think about how we can promote a profound understanding of statmech theory among people working in computational biophysics. From there, we explore ways of re-introducing physical rigor into modern data-driven approaches, which is the main concern that Pratyush says drives his research agenda. He ends up sharing a ton of interesting points on working with the industry, the value of education and knowledge sharing, or the philosophy of complex and cognitive systems, and ends up with a call for more time for silent thinking, where - he says - most of his original ideas came from.…

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Episode 25 - Ivet Bahar: Elastic network models, targeting hinges for drug discovery, persistence and alertness 39:32

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Send us a text In episode 25, Ivet and me start with a general overview of the elastic network theory and its applications to biology, as well as its strengths and limitations. Ivet then tells us about the specific takeaways from the different lines of her research, talking about evolutionary dynamics signatures, mode excitations in allosteric effects, as well as her recent research on the relevance of hinge regions for drug discovery. We talk about the relevance of the proteins-as-graphs picture for machine learning, and end up with a few general reflections about the complementary roles of persistence and alertness in scientific careers.…

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Episode 24½ - My thoughts on season 3 26:17

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Episode 24 - Katarzyna Marcinkiewicz [Nature Communications]: The job of a full-time editor, transparency and other novelties in publishing, and coaching the review process 49:16

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Send us a text In episode 24, Katarzyna talks about the everyday concerns and common threads of an editor's job, from continuously learning about the rapid developments in the field to navigating the review process. She shares some inside stories about the experimental features that journals tinker with these days, and it's good to know that many interesting ideas are being tested out there in the wild. We then discuss a bit about the evolution of the publishing process, including its perception among us research scientists. We largely leave the questions of profits and finance out of the conversation, so this is purely a conversation between two science aficionados who care deeply about the scientific enterprise being transparent, just, open to novelty and focused on quality evidence.…

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Episode 23 - Zoe Cournia: Precision medicine, designing allosteric drugs, and the role of an academic editor 50:00

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Send us a text In episode 23, Zoe and me discuss the current status and promises of drug design, a field where many things seem trivial but nothing is really simple. Zoe talks about the challenges that precision medicine is facing, and how it fits into the grand landscape of future therapies. We go through some success stories, and I ask Zoe how the recent additions to drug design workflows help them in everyday scientific practice, both in terms of physics-based and data-driven models. We then spend a moment talking about the opportunities and responsibilities of a journal editor, and what are the lessons Zoe learned from creating her startup.…

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Episode 22 - Lucie Delemotte: Enhanced sampling methods, alternative publishing models, and becoming a parent in academia 48:58

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Send us a text In episode 22, we start by talking about the 2022 review of enhanced sampling methods that Lucie co-authored, one that provides long-needed organizing principles and unifying vocabulary for applications in this field. We also outline some challenges and community needs still waiting for the bold souls out there looking for ambitious projects. Lucie then moves on to share her experience with alternative publishing models, both as a member of Biophysics Colab and a former editor of eLife, and we dwell a bit on the challenges and possible solutions to what some would call a crisis in publishing, where evaluation metrics and publishing companies created unsustainable or even counterproductive incentive structures in sharing scientific results. We end on personal notes: already last year when I was visiting her lab in Stockholm, Lucie agreed to be on the very first list of interviewees, but it took me so long to figure it out that eventually Lucie gave birth to her twins and went on a maternal leave, so now that she's back more than a year later, I also asked her to share a few reflections on becoming a parent in academia.…

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Episode 21 - Tamar Schlick: A mathematician's path to biology, RNA frameshifting, and why scientists (should!) run 44:49

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Send us a text In episode 21, Tamar first explains how her unique background impacted the way she approached and conceptualized problems in biology, and how her research projects were born in the first place. We talk about the more recent research coming from Tamar's group on frameshifting, a fascinating process by which the readout of the genetic code can be offset by one or two letters to produce multiple proteins from a single viral gene. We then move on to discuss whether it's algorithms or compute that have contributed more to the growth of computational biophysics. Tamar's textbook and the multiple perspective articles she's written over the years serve us to dwell on the importance of writing for clarity and interdisciplinary collaboration. We end on a people-centric note, talking about the social bonds involved in both running and experimental collaborations.…

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Episode 20 - Rommie Amaro: Simulating viruses, cross-disciplinary complexity, and the brain drain 42:52

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Send us a text In episode 20, I start by asking Rommie how their research on the SARS-CoV-2 virus first unfolded during the early days of the pandemic, and from this story, we move on to discuss her original motivation to study large complex systems. We touch upon the exciting experimental developments that enable the realistic modeling of systems as big as entire viruses, and highlight some unexpected findings that came out of the large-scale simulations. Rommie also shares her reflections about the collaboration-driven nature of her lab and the complexities involved in interdisciplinary communication, and we wrap up with a few thoughts about the AI-driven brain drain from academia to industry.…

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Episode 19 - Alex MacKerell: Simple physics, missing experimental data, and model compatibility 26:14

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Send us a text In episode 19, Alex and I discuss the history and future of developments in the CHARMM family of force fields, and whether Alex believes there is more physics that we need to include in our classical energy functions to work around our current challenges in biomolecular modeling. Throughout the conversation, he's advocated for a pragmatic, down-to-earth approach, with the idea of "big molecules, small physics". Alex also highlights the need to augment AI tools with HI, or human intelligence, arguing that so far most attempts at automating model development too much end up with parameters that are unphysical and non-transferable. Yet another interesting point is our often surprising reliance on truly ancient experimental data, and we try to make a point that these very non-sexy physical chemistry measurements straight from the 60s and 70s could truly advance the field if anyone was willing to fund them and actually get them done.…

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Episode 18 - Erik Lindahl: Finding simple and novel ideas, starting an experimental lab, and ligand-gated ion channels 36:58

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Send us a text In Episode 18, Erik Lindahl reminds us that despite our dependence on computational power and advanced technology, real breakthroughs are often waiting for those who have the patience to think carefully, come up with eye-opening ideas, and follow their sense of purpose. We discuss the different ways to be smart in science, highlighting the paradoxical need for both complexity and simplicity in thinking, and talk about what kind of questions in biology will keep us all busy for decades to come. Finally, Erik shares the story behind his series of lectures on concepts in molecular biophysics, a great component of the curriculum of every scientist in the field.…

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Episode 17 - Caroline Lynn Kamerlin: Deep interdisciplinarity, enzyme promiscuity, and science in society 40:30

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Send us a text In episode seventeen, Caroline Lynn Kamerlin talks about the art of asking bold and impactful scientific questions, as well as how to engage in truly interdisciplinary research, something she sees as a consequence of her formal background in natural philosophy. We talk about the emerging concepts around enzyme promiscuity, how this view has steadily become accepted in the field, and how it affects not only research but also human lives. That leads us to consider the ever-emerging problem of bacterial resistance and public health, and since public health is just two steps away from science education, we do venture there too.…

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Episode 16½ - End-of-season 2 commentary 19:23

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Episode 16 - Janusz Bujnicki: Structural modeling, RNA modifications, and advising policy-makers on science 28:51

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Send us a text In the sixteenth episode, Janusz Bujnicki tells me about his early switch to bioinformatics, a stroke of serendipity that defined his future career, and how he later managed to reincorporate both biophysics and experimental biology into his research agenda. We talk about the current state of the field of RNA structural prediction, and how we need to bring together physics and data to tackle the ever more complex biological questions that show up on the horizon. Then, we switch gears to discuss the fascinating world of science advisors for policy-making, or to what extent our scientific knowledge can be employed to shape long-term policies, including the blurry borders between science, philosophy and politics. I think it's a laudable aspiration for many of us to understand how we can have a tangible impact on the real world while keeping our humility in check.…

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Phase Space Invaders (ψ) « » Episode 12 - Vlad Cojocaru: Simulating transcriptional regulation, returning to our home countries, and the scales of the genome

Episode 12 - Vlad Cojocaru: Simulating transcriptional regulation, returning to our home countries, and the scales of the genome

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Episode 12 - Vlad Cojocaru: Simulating transcriptional regulation, returning to our home countries, and the scales of the genome