Science Leadership And Management

At Microsoft, we're dedicated to empowering every scientist with AI-augmented scientific discovery. Our Azure Quantum Elements platform is a significant step in this direction, offering two new groundbreaking capabilities: Generative Chemistry for the exploration of novel molecular structures at an unprecedented scale and speed, and Accelerated DFT for simulating chemical catalysts and other complex molecular structures using core innovation developed by Microsoft Research.   In our work with Unilever, they're harnessing the power of Azure Quantum Elements to drive forward scientific discovery. Unilever DataLab—a leading collaboration platform for in-silico R&D innovation built on Azure—is a prime example of digital transformation in action. From unlocking the secrets of our skin’s microbiome to reducing the carbon footprint of a multi-billion-dollar business, Unilever is redefining what it means to be a consumer goods company in the modern world with leading science.   Earlier this year, we demonstrated with Quantinuum the most reliable logical qubits on record, further advancing the state-of-the-art for quantum computing. And recently, we simulated a chemical catalyst combining classical supercomputers, AI and logical qubits created with Microsoft’s qubit-virtualization system and Quantinuum’s H1 hardware. This combination holds the key to unlocking scientific breakthroughs enabled by a new generation of hybrid-computing applications.   Learn more about the story behind these advancements and their impact on the future of science by reading my latest post on the Official Microsoft Blog: https://lnkd.in/gygcDd2D #AzureQuantum #AI #Science #Innovation

Selection of ideas is an important first step in scientific pursuits. While such pursuits are driven by the appeal of creativity and innovation, filtering potential ideas through a disciplined and algorithmic approach is helpful in selecting the ones to actually to pursue. Here are some considerations that I use for down-selecting ideas in our lab. These are actually Warren Buffett’s guidelines for selecting businesses for investment (verbatim), applied in this context to scientific pursuits. The connection between the two is not a coincidence. After all, time is the most precious investment in scientific research. 1. Invest in what you understand: Choose ideas where you believe that you have something unique to offer in terms of knowledge, skills, technology or approach. 2. Think long-term: If you are not excited to work on an idea for a period of 10 years, don’t work on it even for 10 days. 3. Invest in yourself: If a new idea is naturally positioned to elevate your existing unique skills to a new level, you can’t go wrong with investing time in it. 4. Believe in compounding: Persistent work in a field day-after-day, year-after-year naturally positions you for leadership in the field. Pick an idea within a field that you aspire to become a leader in. 5. Focus first on quality and then on price: It is better to work on a great idea that is difficult to accomplish than a trivial idea that is easy to accomplish. 6. Have a margin of safety: Keep fundamental knowledge as a part of the pursuit of ideas. Technology development may fail, but pursuit of knowledge never does. 7. Block out the noise: Information is key in making decisions. Make sure to distinguish signal from the noise while processing information. 8. Be greedy when others are fearful: Choose an area that gives you some intellectual freedom to explore. 9. Be fearful when others are greedy: Avoid an area that is overcrowded. 10. Timing is not a long-term strategy: Trends come and go. While they do dominate the logistics when they exist, don’t chase trends for the sake of it. #research #science #innovation #academicresearch

Today, the Lords Science & Technology Committee publishes its report into financing and scaling UK science and technology, entitled: “Bleeding to death: the science and technology growth emergency”. Read it here: https://lnkd.in/e9FbMgKx This report is about a slow-burning national crisis. The UK is currently seeing a procession of promising science and technology companies get acquired by overseas buyers or move overseas in search of scale-up funding. This matters because jobs and tax flow overseas when companies relocate. The UK has four of the world’s top ten universities, but only three of the top 100 R&D companies. The failure to grow tech companies has contributed to stagnant productivity and growth since 2008. Laissez-faire attitudes towards science and technology companies are not an option in the rapidly changing geopolitical and technological landscape. This is a complex and long-standing problem. Resolving it will require urgent, sustained action across the whole of Government with clear leadership from the top. Our report makes a wide range of recommendations to help resolve this, including: ➡️ Leadership: Provide clear, top-level leadership through a new National Council for Science, Technology and Growth chaired by the PM, to break the UK’s “failure to scale” doom loop; ➡️ Pensions and institutional investors: Scaling-up companies struggle for finance; institutional investors like pension funds should be providing this, but they aren’t. This creates a vicious cycle where promising companies must go overseas for funds. The report urges the government to go further & faster on consolidating pension funds; channelling more of their capital to UK science & technology. ➡️ Procurement: Public procurement could support innovation and companies remaining in the UK, anchored by contracts. But it’s just not set up for innovative SMEs. The Government should use procurement as an innovation lever with departmental targets for spend with innovative UK SMEs, rising to 3%. This will develop the ability of procuring authorities to specify the solution, rather than the product, and support innovation. ➡️ Public sector investors: Consolidate and expand the British Business Bank and National Wealth Fund; fix the leaky pipeline of scale-up financing between them and Innovate UK, which should be providing due diligence that crowds-in investment into technology companies. ➡️ Skills talent, and universities: Stabilise university finances now. Cut the absurd upfront visa costs for overseas scientists; provide skills training aligned with Industrial Strategy needs and acknowledging the rise of AI, and entrepreneurial skills as part of PhD/undergraduate training. This won’t be easy to achieve. The causes have deep roots. But over the many months I’ve worked on this inquiry, it has become clear that if we don’t treat it as the emergency that it is, the UK economy will continue to bleed out. 

Two of the three 2024 Nobel Prize in Chemistry laureates worked in a corporate research lab. That narrative keeps coming up in the protein folding story. Yet the science of computational protein design and protein structure prediction was built on decades of discovery science, the majority of which happened in university labs. The breakthrough AI tools would not have been possible without five decades of funding from NSF to support building the Protein Data Bank or without the more than the 60,000 scientists who deposited their structural data into this open access archive. David Baker, the third laureate, was continuously funded by NSF since 1994 and it was since 1994 that an ongoing international competition brought scientists together to develop computational models for protein folding prediction. AlphaFold2 solved it in 2020. The discovery infrastructure built in academic settings, sustained by public investment, and maintained through a culture of open science is the long arc that would not have happened if we had to rely solely on market incentives. The corporate lab was critical in accelerating the solution that came after decades of discovery. It also would not have happened without the rich interdisciplinary engagement that took place within and across universities. The big breakthrough happened because of the convergence of structural biologists, chemists, evolutionary geneticists, computer scientists, and biophysicists, all working on the same challenge. Universities facilitate this kind of convergence by bringing disciplines together and enabling fundamental research with commercial application as a potential outcome rather than a prerequisite. Similarly, multiple-PI awards are essential structures for incentivizing interdisciplinarity, by bringing together researchers across departments, institutions, and disciplines to solve grand challenges. These grants support research groups as scientific units, rather than single PIs and they create a structure for transcending disciplinary boundaries to solve the world’s greatest challenges. They also provide the hands-on experiential education that trains the next generation of scientific leadership for the nation. The capacity that produced the protein folding breakthrough, among many of our top breakthroughs, was built over decades through sustained public investment in university-based discovery science and in mechanisms that support interdisciplinarity, open science, and fundamental research. Sustaining that capacity requires the same long-term commitment that built it.

When we are the leader or manager, there's pressure to be "the person who knows". If we cannot give confident advice or direction to our teams, we might look weak. Yet leaders who openly acknowledge what they don’t know often create superior outcomes. Much better to "lead like a scientist": This means approaching everything with curiosity, experimentation, collaboration & being comfortable with not knowing. Three ways to lead like a scientist: 1) Learn in public: openly admit when we don’t know something, share failures & lessons learned, ask questions instead of always providing answers & document our thinking. 2) Unlock social flow: encourage team members to design their own experiments, make space for sharing insights & remove as many artificial barriers as possible. 3) Redefine "success": think beyond performance standards & treat unexpected results as valuable data. When everyone understands that learning is part of success, they take smarter risks, surface problems earlier & develop more interesting solutions to complex challenges: https://lnkd.in/eQn_CS4D. By Anne-Laure Le Cunff, PhD

The theme of my week has been helping folks build leadership teams that can navigate ambiguity, make decisions under pressure, and lead others through uncertainty. Three qualities mattered most as I thought about building successful leadership teams across the public and private sector: 1. Hire communicators who are grounded in operations. -->In times of change, leaders must translate strategy into execution — and execution back into language people understand. Pure strategists struggle without operational grounding. Pure operators struggle without narrative clarity. The most effective senior leaders can do both: manage complexity and explain it simply. 2. Hire for adaptability, not just expertise. -->Technical depth is important. But in fast-moving environments, the ability to pivot matters just as much. Policies shift. Data evolves. Public expectations change. The leaders who thrive are those who can absorb new information, recalibrate quickly, and remain steady for their teams. 3. Look for dot-connectors, not territory-builders. -->Large organizations naturally create silos. The wrong senior team amplifies them. The right team actively connects across functions — policy to operations, communications to data, finance to frontline impact. Progress accelerates when leaders optimize for the enterprise, not their individual domain. When you get the team right, navigating change becomes a collective capability rather than a solo burden. Thanks to the many amazing leaders who have navigated change with me!

What the scientific method can teach us about effective leadership This week, I had the privilege of running a leadership workshop with a group of brilliant scientists and managers working at the cutting edge of their fields. Their rapid grasp of Adaptive Leadership principles generated this surprising insight for me: the scientific method offers a powerful model for leadership in our complex, fast-changing world. Here are three key components that stood out: (1) Diagnosis and Hypothesis: The Underrated Skill Remember when we were taught to never jump to conclusions in science class? Turns out, that's a critical leadership skill too. As Repenning, Kieffer, and Astor point out, understanding the problem is perhaps the most underrated skill in management. When facing adaptive challenges, leaders need to diagnose what's really happening. Who needs to learn what? What are the different perspectives on the challenge? And crucially, what losses are at stake? It's about forming hypotheses before rushing to solutions. (2) Debate and Conflict: The Catalyst for Innovation In science, conflict isn't a roadblock—it's the spark that ignites new ideas. The same holds true for organizations and teams. Instead of avoiding conflict, effective leaders should seek it out productively. It's not about creating a battleground, but about fostering an environment in which diverse perspectives can collide and combine in really productive ways. (3) The Lab as a Holding Environment: Where Safety Meets Progress Here's where it gets really interesting. In science, the lab is more than just a physical space—it's a psychological container that allows for bold experimentation. It's where experts push the boundaries of knowledge through thoughtful experimentation, collaboration, and iteration. The key? Two critical conditions: Boundary conditions that are 'safe enough' to encourage risk-taking AND a culture where failure is celebrated as a stepping stone to progress, not as a setback In leadership, we call this a 'holding environment'—a space where people feel safe enough to take risks, challenge assumptions, and learn from failures. The parallels between scientific inquiry and Adaptive Leadership are striking. Both require us to embrace uncertainty, foster healthy debate, and create environments in which innovation can flourish. As leaders, perhaps it's time we donned our lab coats and approached our challenges with the curiosity and rigor of scientists. What do you think? How might adopting a more scientific mindset transform your approach to leadership? #AdaptiveLeadership #ScientificThinking #InnovationInLeadership

As scientists, we are rigorously trained in the technical aspects of our fields. My PhD in Life Sciences taught me how to design experiments, analyze data, and think critically. However, it was my MBA in Project Management and subsequent leadership specializations that illuminated a critical gap in scientific training: we are often unprepared for the complex human dynamics of modern, collaborative research. The era of the solitary scientist is over. Today, groundbreaking discoveries are made by teams. This requires a skill set that extends beyond the lab bench. To bridge this gap, I constantly seek resources that merge the worlds of scientific inquiry and effective management. Here are four essential books that I believe every research leader, from graduate students to principal investigators, should have on their shelf: 1. Scientific Collaboration: Strategies for Successful Research Teams by Dr. Jeanne Fair This book is a masterclass in the power of narrative. Instead of dry theory, Fair uses compelling true stories of scientific collaboration—both triumphs and failures—to illustrate the core principles of teamwork. It’s an essential read for understanding that trust, integrity, and clear communication are the bedrock of any high-performing research team. 2. Research Project Management and Leadership: A Handbook for Everyone by P. Alison Paprica Traditional project management frameworks often feel too rigid for the fluid nature of research. Paprica brilliantly adapts globally recognized PM tools for the research environment, making them practical and accessible. The inclusion of interviews with 19 research leaders, sharing their real-world challenges and lessons, provides invaluable, actionable wisdom. 3. Labwork to Leadership: A Concise Guide to Thriving in the Science Job You Weren't Trained for by Jen Heemstra This is the book I wish I had when I first started leading a team. Heemstra speaks directly to the experience of becoming a PI and realizing that scientific expertise doesn't automatically translate to leadership skill. Drawing on her own experiences and management research, she provides a clear roadmap for fostering an inclusive lab culture, setting effective goals, and motivating a team to rediscover the joy of science. 4. The Science and Practice of Team Science by the The National Academies of Sciences, Engineering, and Medicine Building on a decade of evidence, this report is the authoritative guide to the field. It provides a robust, evidence-based framework for designing and supporting science teams in our modern context, addressing everything from psychological safety and team charters to the challenges of virtual collaboration. It is an indispensable resource for anyone serious about building effective, context-sensitive research teams. These four books provide a comprehensive curriculum for the modern scientific leader. What books have shaped your approach to research leadership?

A common challenge faced by environmental organizations today is a leadership gap: many are led either by scientists with limited managerial expertise or by managers with insufficient understanding of scientific principles. This imbalance often leads to inefficiencies, with leaders struggling to address complex environmental challenges effectively. When a leader is solely a manager, they may lack the depth of scientific knowledge needed to grasp the nuances of field-level issues. Their solutions might look promising on paper but fail to create meaningful impact in the field or influence policy effectively. On the other hand, when a leader is exclusively a scientist, they may focus too narrowly on research, overlook ground realities, or lack the managerial skills to implement actionable solutions. Both scenarios can result in missed opportunities and ineffective outcomes. To overcome this, organizations need leaders who are not only well-versed in science but also skilled in management. These "science managers" have the ability to bridge the gap, combining technical expertise with practical leadership to drive efficient science, impactful policy, and sustainable implementation. By fostering such balanced leadership, environmental organizations can ensure their efforts translate into real-world change. The world urgently needs leaders who can integrate the best of both science and management to tackle the complex challenges of our time.