Veteran life-sciences investor and entrepreneur focused on early-stage biotechnology and oncology therapeutics. Vijendar Dwarakanath combines operating R&D experience with venture investing, serving on corporate boards and advising clinical-stage companies. Known for sourcing translational assets, structuring financing rounds, and navigating regulatory and partnering pathways.
Veteran life-sciences investor and entrepreneur focused on early-stage biotechnology and oncology therapeutics. Vijendar Dwarakanath combines operating R&D experience with venture investing, serving on corporate boards and advising clinical-stage companies. Known for sourcing translational assets, structuring financing rounds, and navigating regulatory and partnering pathways.
Combines operational R&D experience with venture-style, early-stage biotech investing, prioritizing translational oncology assets with clear clinical paths and partnerable mechanisms. Uses deep scientific due diligence and milestone-driven, staged capital to de-risk programs, preferring syndication with strategic pharma and experienced co-investors. Active governance and hands-on portfolio support accelerate development, regulatory strategy, and partnering readiness. Time horizon is long, patient capital calibrated to clinical inflection points; risk discipline centers on robust preclinical-to-clinic evidence, clear go/no-go criteria, and exit through strategic partnerships or clinical value creation.
Combines operational R&D experience with venture-style, early-stage biotech investing, prioritizing translational oncology assets with clear clinical paths and partnerable mechanisms. Uses deep scientific due diligence and milestone-driven, staged capital to de-risk programs, preferring syndication with strategic pharma and experienced co-investors. Active governance and hands-on portfolio support accelerate development, regulatory strategy, and partnering readiness. Time horizon is long, patient capital calibrated to clinical inflection points; risk discipline centers on robust preclinical-to-clinic evidence, clear go/no-go criteria, and exit through strategic partnerships or clinical value creation.
| Trades 163 | Longs Won 91/163 55% | Profit Factor 12.77 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $11.94M |
| Average Win $4.72M | Best Trade (Jun 14) $126.82M | Sharpe Ratio -68.07 |
| Average Loss -$466,965.66 | Worst Trade (Jun 14) -$3.42M | Z-Score 0.81 (58.42%) |
| Commissions $0 | Avg. Trade Length 1y 2m 3w 3d | Expectancy $2.43M |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | 0.02% | 0.52% | 8.36% |
| Consecutive Losing Trades | 1,493 | 1,343 | 1,194 | 1,045 | 896 | 746 | 597 | 448 | 299 | 149 |