Parneet Pal is a Harvard-trained physician, working at the intersection of lifestyle medicine, behavior change and technology. Her focus is regenerative wellbeing - how we can optimize personal and planetary health.
She is currently a Chief Science Officer for a San Francisco-based company solving for stress, burnout, anxiety and loneliness in the workplace, using the science of mindfulness, resilience and compassion.
An educator, storyteller and communicator at heart, Parneet is an international speaker, having presented at numerous conferences including Pause Fest (Melbourne), Web Summit (Lisbon), Slush (Helsinki), Leade.rs (Paris), The Next Web (Amsterdam), Tech Open Air (Berlin), Wellness Council of America (Omaha), Wisdom 2.0 (San Francisco), American College of Lifestyle Medicine (Tucson) and Regen18 (San Francisco). She keynotes and leads webinars & workshops for global organizations such as LinkedIn, Salesforce, Merck, Facebook, Estee Lauder, and Hilton Foundation, among others.
She speaks about the Science of Stress and Burnout; Responding Wisely to Crisis; Building Resilience; Mitigating Loneliness; Ethical Leadership; Mindful and Compassionate Organizations; Designing Healthy Lifestyles; The Connections Between Personal and Planetary Health; and The Future of Work.
She is a podcast interviewer at Wise@Work podcast; a TEDMED scholar; writes for various publications including Harvard Business Review and was featured on the cover of Mindful magazine.
Parneet made a shift from clinical practice to chronic disease prevention and has directed two wellness spas, expanded a private executive health practice and consulted with organizations on the design and implementation of lifestyle management platforms (nutrition, mindfulness, exercise, stress management). In addition to her medical training, Parneet holds a Masters in Exercise and Movement Science. Her decades-long meditation and mindfulness practice is key to her personal wellbeing.
She envisions the creation of a compassionate society where health is the default.